Researchers Provide More Evidence That a Blood Test Can Detect the Risk of Alzheimer’s

As treatment options for Alzheimer’s disease continue to elude researchers, there appears to be developing promise for the detection of the dreaded form of dementia. A recent studyprovides additional evidence that blood tests can detect the risk of Alzheimer’s disease.

Spotlight

Select Sires Inc.

Select Sires Inc. is a federation of six farmer-owned and -controlled cooperatives. It provides highly fertile semen as well as excellence in service and programs to achieve its basic objective of supplying livestock breeders with America's best genetics at a reasonable price.

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Medical

Data Analytics: A Groundbreaking Technology in Biotech

Article | August 16, 2022

Biotechnology is a vast discipline of biology that employs diverse biological systems to create solutions that can significantly alter the ways in which they operate across various domains. That said, biotechnology is not a new notion. It has existed for millennia, with ancient civilizations using its earliest incarnations to cultivate crops and create alcoholic beverages. Today, the biotechnology industry has developed by leaps and bounds and has amassed a vast quantity of scientific data through study and research. Given the importance of data in the biotechnology business, it is not difficult to understand why biotech companies utilize data analytics. Modern data analytics tools have made it possible for researchers in the biotech industry to build predictive analytics models and gain knowledge about the most efficient approaches to accomplish their desired goals and objectives. Data analytics is increasingly being adopted by biotech businesses to better understand their industry and foresee any problems down the road. How is Data Analytics Revolutionizing Fields in Biotechnology? Today's business and scientific fields greatly benefit from data. Without the analysis of vast information libraries that provide new insights and enable new innovations, no industry can really advance. Being highly reliant on big data analytics, biotech is not an exception in this regard. With the tools and methods that help scientists systematize their findings and speed up their research for better and safer results, data analytics is making deeper inroads into the biotechnology industry. It is emerging as a crucial link between knowledge and information and is extensively being used for purposes other than just examining the information that is already available. The following are a few of the cutting-edge biotechnology applications of data analytics Genomics and Disease Treatment Pharmaceutical Drug Discovery Drug Recycling and Safety Agriculture and Agri-products Environmental Damage Mitigation Data Analytics Possibilities in Biotechnology With data analytics becoming an integral part of how biotech businesses operate, biotechnologists and related stakeholders need to understand its emergence and crucial role. Data analytics has opened new frontiers in the realm of biotechnology. Thanks to developments in data analytics, research and development activities that once took years may now be accomplished in a matter of months. Also, now scientists have access to biological, social, and environmental insights that can be exploited to create more effective and sustainable products. By understanding the importance of data-related tools and techniques applications, biotech companies are aiming to invest in the popularizing technology to stay updated in the fast-paced biotechnology industry.

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MedTech

Next-Gen Gene Therapy to Counter Complex Diseases

Article | July 11, 2022

Gene therapy has historically been used to treat disorders with in-depth knowledge caused by a single genetic mutation. Thanks to the introduction of new generation technologies, the potential of gene therapy is expanding tAo treat diseases that were previously untreatable. Evolution of Gene Therapy One of the major success stories of the twenty-first century has been gene therapy. However, it has not been the same in the past. The field's journey to this point has been long and mostly difficult, with both tragedy and triumph along the way. Initially, genetic disorders were thought to be untreatable and permanently carved into the genomes of individuals unfortunate enough to be born with them. But due to the constant technological advancement and research activities, gene therapy now has the potential to treat various genetic mutation-causing diseases with its ability to insert a new copy and replace faulty genes. Gene Therapy is Finding New Roads in the Medical Sector Gene therapy can help researchers treat a variety of conditions that fall under the general heading of epilepsy, instead of only focusing on a particular kind of disorder brought on by a genetic mutation. Following are some of the domains transformed by gene therapy. Neurology – Gene therapy can be used for the treatment of seizures by directly injecting it into the area causing an uncontrolled electrical disturbance in the brain. Furthermore, by using DNA sequences known as promoters, gene therapy can be restricted to specific neurons within that area. Ophthalmology – Genetic conditions such as blindness can be caused due to the mutation of any gene out of over 200 and resulting in progressive vision loss in children. With advanced gene therapies such as optogenetics, lost photoreceptor function can be transferred to the retinal cells, which are responsible for relaying visual information to the brain. This might give patients the ability to navigate in an unknown environment with a certain level of autonomy. The Future of Gene Therapy The news surrounding gene therapy has been largely favorable over the past few years, with treatment after treatment obtaining regulatory approvals, successful clinical trials, and garnering significant funds to begin development. With more than 1,000 clinical trials presently underway, the long-awaited gene therapy revolution might finally be here.

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MedTech

How to Choose a Reliable Biotech Clinical Trial Management System?

Article | July 20, 2022

Introduction The medical and life-science industries are experiencing a robust transformation with the increasing prevalence of various types of diseases, including infectious diseases, chronic disorders, and acute conditions around the world. As a result, a significant rise in demand for more effective therapeutic drugs and bionics is being witnessed, leading to a swift increase in the number of clinical trials. For a successful trial, it is important for biotech companies to ensure the data submitted to regulatory bodies regarding clinical trials is accurate, reliable, and definitive from an ethical point of view. A reliable clinical trial management system plays a vital role in collecting, monitoring, and managing clinical data. The availability of high-quality clinical data also helps clinical research institutions make efficient treatment decisions and provide proper patient care. Hence, a number of biotech companies and research organizations are focusing on leveraging innovative clinical trial management solutions to handle a large amount of data, particularly in multi-center trials, and generate reliable, high-quality, and statistically sound data from clinical trials. However, selecting the most appropriate and reliable clinical trial management system is vital for the clinical trial's success. Let's see some of the steps that will assist these firms in choosing the right CTMS. Key Steps for Selecting Right Biotech Clinical Trial Management System Prioritize Study Needs Considering and prioritizing study needs is a crucial step in choosing the most reliable clinical trial management system for biotech companies. Prioritizing helps them to identify a solution that improves the study's quality and removes uncertainty for researchers when faced with difficult choices. Hence, biotech and life-science organizations should choose a clinical trial system that is simple to use, well-organized, and suitably designed to minimize the number of clicks required to complete a task. Select CTMS with Multiple Integrations Integrated clinical trial management systems provide the best value for the companies’ funds as they guarantee the smooth functioning of research protocols. In addition, integrations are necessary to fully understand the importance and advantages of clinical trial management software for ensuring smooth transitions between site management and data collection. Biotech and clinical research should look for CTMS platforms that can integrate with electronic medical record (EMR) platforms and clinical research process content (CRPC) billing grids. This will allow them to use the same billing designations and ensure compliance while minimizing the need for duplicate processes. Ensure System Compliance and Security Clinical research organizations need to adhere to a plethora of complex regulations in order to ensure compliance with one of the most challenging environments of principles, which is information security and privacy. Security and system compliance are vital aspects of choosing the right CTMS solutions for biotech firms as they assist in building trust and form a part of the system’s duties. While selecting CTMS systems, it is essential for companies engaged in clinical research to ensure that these platforms are able to configure both, group and individual permissions, along with having a data backup and recovery plan for hosted systems. This will allow companies to assess the privacy and security implications of research and anticipate complications that may arise in each phase of the project. Assess the Scalability Choosing a scalable CTMS that can accommodate various types of fluctuations and expansions enables biotech and clinical firms to quickly adapt to fast-changing trends and demand spikes while reducing maintenance costs and enhancing user agility. As scalability also means secure and expanded data storage, these businesses should instead use SaaS solutions than manually manage an ever-growing collection of hard drives. The right CTMS ensures accommodating the firm’s availability requirements without incurring the capital costs associated with expanding a physical infrastructure. The Closing Thought A well-executed and successful clinical trial involves multiple stages and processes. Several quality controls and stringent adherence to regulations are essential for the steps, along with efficient cross-departmental processes and procedures. Incorporating the right CTMS paves the way for paperless data collection, regulatory filing, and fiscal management tools for biotech researchers and administrative personnel.

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Medical

Nanostructures: Emerging as Effective Carriers for Drug Delivery

Article | July 14, 2022

Natural remedies have been employed in medicine since antiquity. However, a large number of them fail to go past the clinical trial stages. In vivo instability, poor solubility and bioavailability, a lack of target-specific delivery, poor absorption, and side effects of the medication are only a few of the problems caused by the use of large-sized materials in drug administration. Therefore, adopting novel drug delivery systems with targeted medications may be a solution to address these pressing problems. Nanotechnology has received tremendous attention in recent years and has been demonstrated to help blur the boundaries between the biological and physical sciences. With great success, it plays a vital part in enhanced medication formulations, targeted venues, and controlled drug release and delivery. Limitations of Traditional Delivery Trigger the Adoption of Nanoparticles The field of nanotechnology and the creation of drug formulations based on nanoparticles is one that is expanding and showcasing great potential. It has been thoroughly researched in an effort to develop new methods of diagnosis and treatment and to overcome the limitations of several diseases' current therapies. As a result, nanoparticles are being used to improve the therapeutic effectiveness and boost patient adherence to treatment by increasing medication bioavailability, drug accumulation at a particular spot, and reducing drug adverse effects. The nanoparticles could be transformed into intelligent systems housing therapeutic and imaging agents by manipulating their surface properties, size, correct drug load, and release with targeted drug delivery. Nanostructures facilitate the release of combination medications at the prescribed dose since they remain in the blood circulation system for a long time. Therefore, they result in fewer plasma fluctuations with decreased side effects. Due to their nanoscale, these structures can easily enter the tissue system, promote the absorption of drugs by cells, make medication administration more effective, and ensure that the medicine acts at the targeted location. The Way Ahead Nanomedicine and nano-delivery systems are a comparatively new but fast-evolving science in which nanoscale materials are used as diagnostic tools to deliver drug molecules at precisely targeted sites in a controlled manner. It is finding applications for the treatment of diseases such as cardiovascular, neurodegenerative, cancer, ocular, AIDS, and diabetes, among others. With more research and technological advancement, these drug delivery solutions will open up huge opportunities for companies that work with them.

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Spotlight

Select Sires Inc.

Select Sires Inc. is a federation of six farmer-owned and -controlled cooperatives. It provides highly fertile semen as well as excellence in service and programs to achieve its basic objective of supplying livestock breeders with America's best genetics at a reasonable price.

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NiKang Therapeutics Completes $200 Million Series C Financing to Advance Highly Differentiated Small Molecules Addressing Difficult-to-Drug Targets

NiKang Therapeutics | May 31, 2021

NiKang Therapeutics Inc., a clinical-stage biotech company focused on developing innovative small molecule oncology medicines to assist patients with unmet medical needs; today announced the completion of an oversubscribed $200 million Series C financing led by Cormorant Asset Management, HBM Healthcare Investments, and Octagon Capital Advisors with participation from a premier syndicate of funds, including new investors EcoR1 Capital, Perceptive Advisors, Wellington Management, Ally Bridge Group, Pavilion Capital, funds and accounts managed by BlackRock, RA Capital Management, Surveyor Capital (a Citadel company), Samsara BioCapital, PFM Health Sciences, Invus, Janus Henderson Investors and Logos Capital. All existing investors, including CBC Group, RTW Investments, LP, Lilly Asia Ventures, Matrix Partners China, and Casdin Capital, participated in the financing. About the funding, Bing Yao, Ph.D., former CEO and chairman of Viela Bio, and Ting Jia, Ph.D., founder and chief investment officer of Octagon Capital Advisors, will join NiKang’s Board of Directors. “We are thrilled to have such an outstanding group of investors as our shareholders,” said Zhenhai Gao, Ph.D., co-founder, president, and chief executive officer of NiKang. “Their support of our vision allows us to build the world’s leading precision oncology company. We are now well-positioned to rapidly advance our pipeline into the clinic, including our differentiated HIF-2 alpha inhibitor, and to bring our company to the next level of growth.” “This financing is a testament to the quality of our science and team,” Kelsey Chen, Ph.D., MBA, chief financial officer, added. “Since joining NiKang, I have witnessed the passion and dedication of a group of talented scientists who are devoting their lives to advancing treatments for patients. We are grateful to be recognized by such a high-caliber group of investors.” “NiKang has made remarkable progress over the last eight months since our initial investment,” said Ting Jia, Ph.D., a chief investment officer of Octagon. “We are impressed by the team’s accomplishment. We believe NiKang’s unique approach to attacking difficult-to-drug targets offers promising opportunities to develop breakthrough treatments for cancer patients. We are excited to co-lead the series C financing and partner with the NiKang team to accelerate its growth.” “We are proud of what NiKang has achieved since its inception,” said Sean Cao, executive chairman of NiKang and managing director of CBC Group, which incubated the company. “The strength of this group of investors validates NiKang’s achievements and demonstrates their confidence in NiKang’s potential to grow into a leading innovative drug company.” Proceeds will be used to advance the company’s lead drug candidates into the clinic, expand the pipeline, and fund internal drug discovery programs. About NiKang Therapeutics NiKang Therapeutics is a clinical-stage biotech company focused on discovering and developing innovative small molecule oncology medicines to assist patients with unmet medical needs. Our target selection is driven by deep insights into disease biology and molecular pathways. Our discovery approach is informed by target structure biology and capitalizes on structure-based drug design. The successful implementation of our strategy enables us to rapidly and efficiently discover and advance proprietary drug candidates with the most desirable pharmacological features into clinical studies. We strive to bring transformative medicines to patients in need.

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Medical

TeselaGen Biotechnology Announced the Launch of a New Protein Optimization Toolkit for Automated Biotherapeutic Drug Design and Development

TeselaGen Biotechnology | May 21, 2021

TeselaGen Biotechnology today announced the launch of a new protein optimization toolkit for biotherapeutic drug design and development, introducing significant enhancements to the company’s flagship TeselaGen® OS to form designing and developing pharmaceuticals and biotherapeutics faster and fewer expensive. The new capabilities, easily accessible via the cloud-based platform, simplify the planning of highly complex combinatorial protein libraries and support AI models for optimizing new peptides and proteins. New application programming interfaces (APIs) and integration tools have also been extended to further enhance users’ access to the new capabilities. TeselaGen integrates the facility of AI with one end-to-end platform for design, construction, data gathering, and analysis of bioproduct performance, from pharmaceuticals to food and fabrics, significantly accelerating time to plug and reducing costs. The platform’s DESIGN, BUILD, TEST, and find out modules enable researchers to effectively collaborate across an organization's development pipeline to style and build experiments, standardize and share data, and learn and preserve project results by embedding them during a machine learning model. TeselaGen’s DESIGN is an intuitive, user-interface-driven module that permits scientists to style highly complex combinatorial libraries. With this new release, the planning now supports aminoalkanoic acid parts which will be efficiently mapped to DNA. TeselaGen can then automatically generate biology protocols for efficiently synthesizing and assembling the corresponding DNA libraries. TeselaGen’s DISCOVER now supports AI models which will recommend new peptides and proteins supported by the training of supervised and unsupervised learning models. The platform also supports the modeling of unnatural amino acids and multicriteria optimization of proteins. R&D groups can utilize the TeselaGen OS to hurry the invention process. Datasets are uploaded and arranged within the platform and immediately useful for model building within TeselaGen’s DISCOVER module. TeselaGen has demonstrated that it can increase the planning and build speed of biological products and reduce the prices related to research & development by an order of magnitude. Current partnering companies are using the new capabilities for designing antibodies and optimizing their binding affinity, titer, specific productivity, immunogenicity, or other phenotypic variables of interest. Researchers also are looking to TeselaGen for rapidly engineering new vaccines - using methods like virus-like particles (VLPs), DNA, and RNA vaccines - opening the door to attacking rapidly mutating RNA and retroviruses like influenza, HCV, HIV, or coronaviruses. About TeselaGen Biotechnology TeselaGen Biotechnology has developed the primary artificial intelligence-enabled OS for biotechnology, enabling the event and commercialization of high-performance bioproducts – from pharmaceuticals to food to fabrics – faster and easier than ever. TeselaGen® connects biologists, lab technicians, and bioinformaticians so that they will collaboratively design and build experiments, organize and standardize data then test and continually learn from the info. TeselaGen has been deployed by Fortune 50 companies and emerging innovators in biopharmaceuticals, agriculture, and specialty chemicals. the corporate is privately held and based in San Francisco, California.

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AI

Iktos Partners with Kadmon to Use AI for New Drug Design

Iktos, Kadmon | May 19, 2021

Iktos, a company specializing in Artificial Intelligence for new drug design, announced today that it has signed a Research Collaboration Agreement with Kadmon, a clinical-stage biopharmaceutical company based in New York, USA, under which Iktos' generative modeling artificial intelligence (AI) technology will be used to allow the rapid and cost-effective design of novel drug candidates. Iktos will use its de novo structure-based generative modeling technologies to find novel compounds that meet a pre-defined target product profile as part of the deal, to speed up Kadmon's early-stage discovery efforts. Kadmon discovers, develops, and delivers small molecules and biologics for the treatment of human diseases. Intending to identify and develop new product candidates for significant unmet medical needs, Kadmon is expanding and incorporating novel drug discovery platforms. The AI technology developed by Iktos, which is focused on deep generative models, aids in the speed and efficiency of the drug discovery process. Iktos' technology creates virtual novel molecules that have all of the properties of a successful drug molecule automatically. This approach, which has been validated by Iktos' other collaborations, is an innovative approach to one of the most difficult problems in drug design: finding molecules that meet several important drug criteria at the same time, such as potency, selectivity, safety, and project-specific properties. Iktos' technology enables the creation of new hits with optimal protein-ligand interactions in early-stage discovery projects, as predicted by molecular modeling technology. This technique allows for a one-of-a-kind discovery of chemical space, as well as the development of innovative molecule designs with greater Freedom to Operate. Furthermore, allowing multi-parametric in silico optimization from the start of a project greatly reduces the hit finding and hit-to-lead optimization phases. About Iktos Iktos, a French start-up founded in October 2016, specializes in the development of artificial intelligence technologies for chemical research, especially medicinal chemistry, and new drug design. Iktos is working on a proprietary and innovative approach focused on deep learning generative models that allow users to build molecules in silico that follow all of the performance criteria of a small molecule discovery project using existing evidence. Iktos technology allows for significant efficiency gains in upstream pharmaceutical R&D. Iktos' software is utilized as both professional services and a SaaS software platform, Makya. Spaya, a synthesis planning software built on Iktos' proprietary AI technology for retrosynthesis, is also in the works.

Read More

Medical

NiKang Therapeutics Completes $200 Million Series C Financing to Advance Highly Differentiated Small Molecules Addressing Difficult-to-Drug Targets

NiKang Therapeutics | May 31, 2021

NiKang Therapeutics Inc., a clinical-stage biotech company focused on developing innovative small molecule oncology medicines to assist patients with unmet medical needs; today announced the completion of an oversubscribed $200 million Series C financing led by Cormorant Asset Management, HBM Healthcare Investments, and Octagon Capital Advisors with participation from a premier syndicate of funds, including new investors EcoR1 Capital, Perceptive Advisors, Wellington Management, Ally Bridge Group, Pavilion Capital, funds and accounts managed by BlackRock, RA Capital Management, Surveyor Capital (a Citadel company), Samsara BioCapital, PFM Health Sciences, Invus, Janus Henderson Investors and Logos Capital. All existing investors, including CBC Group, RTW Investments, LP, Lilly Asia Ventures, Matrix Partners China, and Casdin Capital, participated in the financing. About the funding, Bing Yao, Ph.D., former CEO and chairman of Viela Bio, and Ting Jia, Ph.D., founder and chief investment officer of Octagon Capital Advisors, will join NiKang’s Board of Directors. “We are thrilled to have such an outstanding group of investors as our shareholders,” said Zhenhai Gao, Ph.D., co-founder, president, and chief executive officer of NiKang. “Their support of our vision allows us to build the world’s leading precision oncology company. We are now well-positioned to rapidly advance our pipeline into the clinic, including our differentiated HIF-2 alpha inhibitor, and to bring our company to the next level of growth.” “This financing is a testament to the quality of our science and team,” Kelsey Chen, Ph.D., MBA, chief financial officer, added. “Since joining NiKang, I have witnessed the passion and dedication of a group of talented scientists who are devoting their lives to advancing treatments for patients. We are grateful to be recognized by such a high-caliber group of investors.” “NiKang has made remarkable progress over the last eight months since our initial investment,” said Ting Jia, Ph.D., a chief investment officer of Octagon. “We are impressed by the team’s accomplishment. We believe NiKang’s unique approach to attacking difficult-to-drug targets offers promising opportunities to develop breakthrough treatments for cancer patients. We are excited to co-lead the series C financing and partner with the NiKang team to accelerate its growth.” “We are proud of what NiKang has achieved since its inception,” said Sean Cao, executive chairman of NiKang and managing director of CBC Group, which incubated the company. “The strength of this group of investors validates NiKang’s achievements and demonstrates their confidence in NiKang’s potential to grow into a leading innovative drug company.” Proceeds will be used to advance the company’s lead drug candidates into the clinic, expand the pipeline, and fund internal drug discovery programs. About NiKang Therapeutics NiKang Therapeutics is a clinical-stage biotech company focused on discovering and developing innovative small molecule oncology medicines to assist patients with unmet medical needs. Our target selection is driven by deep insights into disease biology and molecular pathways. Our discovery approach is informed by target structure biology and capitalizes on structure-based drug design. The successful implementation of our strategy enables us to rapidly and efficiently discover and advance proprietary drug candidates with the most desirable pharmacological features into clinical studies. We strive to bring transformative medicines to patients in need.

Read More

Medical

TeselaGen Biotechnology Announced the Launch of a New Protein Optimization Toolkit for Automated Biotherapeutic Drug Design and Development

TeselaGen Biotechnology | May 21, 2021

TeselaGen Biotechnology today announced the launch of a new protein optimization toolkit for biotherapeutic drug design and development, introducing significant enhancements to the company’s flagship TeselaGen® OS to form designing and developing pharmaceuticals and biotherapeutics faster and fewer expensive. The new capabilities, easily accessible via the cloud-based platform, simplify the planning of highly complex combinatorial protein libraries and support AI models for optimizing new peptides and proteins. New application programming interfaces (APIs) and integration tools have also been extended to further enhance users’ access to the new capabilities. TeselaGen integrates the facility of AI with one end-to-end platform for design, construction, data gathering, and analysis of bioproduct performance, from pharmaceuticals to food and fabrics, significantly accelerating time to plug and reducing costs. The platform’s DESIGN, BUILD, TEST, and find out modules enable researchers to effectively collaborate across an organization's development pipeline to style and build experiments, standardize and share data, and learn and preserve project results by embedding them during a machine learning model. TeselaGen’s DESIGN is an intuitive, user-interface-driven module that permits scientists to style highly complex combinatorial libraries. With this new release, the planning now supports aminoalkanoic acid parts which will be efficiently mapped to DNA. TeselaGen can then automatically generate biology protocols for efficiently synthesizing and assembling the corresponding DNA libraries. TeselaGen’s DISCOVER now supports AI models which will recommend new peptides and proteins supported by the training of supervised and unsupervised learning models. The platform also supports the modeling of unnatural amino acids and multicriteria optimization of proteins. R&D groups can utilize the TeselaGen OS to hurry the invention process. Datasets are uploaded and arranged within the platform and immediately useful for model building within TeselaGen’s DISCOVER module. TeselaGen has demonstrated that it can increase the planning and build speed of biological products and reduce the prices related to research & development by an order of magnitude. Current partnering companies are using the new capabilities for designing antibodies and optimizing their binding affinity, titer, specific productivity, immunogenicity, or other phenotypic variables of interest. Researchers also are looking to TeselaGen for rapidly engineering new vaccines - using methods like virus-like particles (VLPs), DNA, and RNA vaccines - opening the door to attacking rapidly mutating RNA and retroviruses like influenza, HCV, HIV, or coronaviruses. About TeselaGen Biotechnology TeselaGen Biotechnology has developed the primary artificial intelligence-enabled OS for biotechnology, enabling the event and commercialization of high-performance bioproducts – from pharmaceuticals to food to fabrics – faster and easier than ever. TeselaGen® connects biologists, lab technicians, and bioinformaticians so that they will collaboratively design and build experiments, organize and standardize data then test and continually learn from the info. TeselaGen has been deployed by Fortune 50 companies and emerging innovators in biopharmaceuticals, agriculture, and specialty chemicals. the corporate is privately held and based in San Francisco, California.

Read More

AI

Iktos Partners with Kadmon to Use AI for New Drug Design

Iktos, Kadmon | May 19, 2021

Iktos, a company specializing in Artificial Intelligence for new drug design, announced today that it has signed a Research Collaboration Agreement with Kadmon, a clinical-stage biopharmaceutical company based in New York, USA, under which Iktos' generative modeling artificial intelligence (AI) technology will be used to allow the rapid and cost-effective design of novel drug candidates. Iktos will use its de novo structure-based generative modeling technologies to find novel compounds that meet a pre-defined target product profile as part of the deal, to speed up Kadmon's early-stage discovery efforts. Kadmon discovers, develops, and delivers small molecules and biologics for the treatment of human diseases. Intending to identify and develop new product candidates for significant unmet medical needs, Kadmon is expanding and incorporating novel drug discovery platforms. The AI technology developed by Iktos, which is focused on deep generative models, aids in the speed and efficiency of the drug discovery process. Iktos' technology creates virtual novel molecules that have all of the properties of a successful drug molecule automatically. This approach, which has been validated by Iktos' other collaborations, is an innovative approach to one of the most difficult problems in drug design: finding molecules that meet several important drug criteria at the same time, such as potency, selectivity, safety, and project-specific properties. Iktos' technology enables the creation of new hits with optimal protein-ligand interactions in early-stage discovery projects, as predicted by molecular modeling technology. This technique allows for a one-of-a-kind discovery of chemical space, as well as the development of innovative molecule designs with greater Freedom to Operate. Furthermore, allowing multi-parametric in silico optimization from the start of a project greatly reduces the hit finding and hit-to-lead optimization phases. About Iktos Iktos, a French start-up founded in October 2016, specializes in the development of artificial intelligence technologies for chemical research, especially medicinal chemistry, and new drug design. Iktos is working on a proprietary and innovative approach focused on deep learning generative models that allow users to build molecules in silico that follow all of the performance criteria of a small molecule discovery project using existing evidence. Iktos technology allows for significant efficiency gains in upstream pharmaceutical R&D. Iktos' software is utilized as both professional services and a SaaS software platform, Makya. Spaya, a synthesis planning software built on Iktos' proprietary AI technology for retrosynthesis, is also in the works.

Read More

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