Cannabinoid compounds may inhibit growth of colon cancer cells

| February 6, 2019

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Medical marijuana has gained attention in recent years for its potential to relieve pain and short-term anxiety and depression. Now, Penn State College of Medicine researchers say some cannabinoid compounds may actually inhibit the growth of colon cancer cells in the lab. The researchers tested the effects of synthetic cannabinoid compounds on colon cancer cells in an experiment in test tubes. While the compounds most commonly associated with cannabis THC, and CBD showed little to no effect, 10 other compounds were effective at inhibiting cancer cell growth.

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Anchor Therapeutics

Anchor Therapeutics is pioneering a new class of drugs called Pepducins. Pepducins are a breakthrough approach to targeting and allosterically modulating G-protein coupled receptors (GPCRs) on the inside surface of the cell membrane.

OTHER ARTICLES

Pfizer, BioNTech Plan Clinical Trial for COVID-19 mRNA Vaccine Candidate

Article | April 9, 2020

Pfizer and BioNTech plan to begin human clinical trials on their lead COVID-19 therapeutic candidate, an mRNA vaccine, by the end of this month, the companies said today, through a collaboration that could generate up to $748 million for the German biotech. The companies announced plans last month to partner on BNT162, the first treatment to emerge from BioNTech’s accelerated COVID-19-focused development program, “Project Lightspeed.” BioNTech and Pfizer established collaboration intended to draw upon BioNTech’s proprietary mRNA vaccine platforms, and Pfizer’s expertise in vaccine research and development, regulatory capabilities, and global manufacturing and distribution network.

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Translating Pharmacomicrobiomics: Three Actionable Challenges/Prospects in 2020

Article | February 24, 2020

The year 2020 marks a decade since the term pharmacomicrobiomics was coined (Rizkallah et al., 2010) to crystallize a century-old concept of mutual interactions between humans, drugs, and the microbial world. The human microbiome, with its immense metabolic potential that exceeds and expands the human metabolic capacities, has the ability to modulate pharmacotherapy by affecting both pharmacokinetics and pharmacodynamics of drug molecules:

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AI and Biotechnology: The Future of Healthcare Industry

Article | January 20, 2021

Artificial intelligence has grasped the foundation in biotech. It can have the most innovative impact on biotechnology. AI has already established its presence in our day-to-day life. AI has made the existence of self-driving cars possible. Likewise, the benefits and quality that it can contribute to biotech can also be felt. With AI, bio technicians will be able to enhance virtual screening, overlook preliminary datasets from clinics, and decipher an enormous amount of information. It can also help in improving the medication process by gathering and analyzing every bit of information. The Significance of AI in Biotechnology In the past few years, the application of artificial intelligence in the biotechnology industry has shifted from being sci-fi to sci-fact. A vast number of biotech companies like Deep Genomics are adopting AI for making data-driven decisions and use analytics tools to work efficiently. Unlike the AI robots in sci-fi that are ready to take over the world. AI designed for biotech has been designed to solve certain problems or complete a bunch of tasks by using automated algorithms. The aim of AI technology for biotech is to collect insights along with hidden patterns from large amounts of data. All the different industries of biotech including agriculture, animal, medical, industrial, and bioinformatics are gradually being affected by artificial intelligence. Moreover, the biotech industry is realizing that AI enables them some of the important strength to their business, including: Expanding accessibility Cost-effectiveness Critical predictions Efficient decision-making Research centers like PwC have also estimated output of $15.7 trillion by 2030 solely with AI contribution in industries. A survey revealed that about 44% of life science experts are using AI for R&D activities, as well. Use of AI in Biotechnology Altering Biomedical and Clinical Data So far the most developed use of AI is its ability to read voluminous data records and interpret them. It can prove to be a life-save for bio technicians who would have to examine that much data from research publications by themselves for the validation of their hypothesis. With the help of AI, clinical studies of patients will also become easier as all the examination reports and prescriptions will be stored in one place for cross-reference. Furthermore, it will also help in blending and fetching data into usable formats for analysis. Test Result Prediction Through trial and error, AI along with machine learning can help in predicting the response of the patient to certain drugs to provide more effective outcomes. Drug Design & Discovery AI plays a vital role whether it’s designing a new molecule or identifying new biological targets. It helps in identifying and validating drugs. It reduces the cost and time spent on the entire drug trial process and reaches the market. Personalized Medications for Rare Diseases With the combination of body scan results, patients’ body and analytics, AI can also help in detecting dangerous diseases at an early stage. Improving Process of Manufacturing To improve the process of manufacturing in biotechnology, AI offers a wide range of opportunities. It controls quality, reduces wastage, improves useability, and minimizes the designing time. Moving Towards AI-Enhanced Biotech Future Ever since the concept of artificial intelligence has arrived, being curious by nature, humans have started working towards achieving this goal. It has been growing at a fast pace while showing unbelievable growth and achievements at times. In comparison to the traditional methods used in the biotechnology industry, AI-based methods seem more reliable and accurate. In the upcoming years, it will show its success by improving the quality of health people have. You can also develop your AI-based application or know more about it by taking IT consultations.

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Better Purification and Recovery in Bioprocessing

Article | August 2, 2021

In the downstream portion of any bioprocess, one must pick through the dross before one can seize the gold the biotherapeutic that the bioprocess was always meant to generate. Unfortunately, the dross is both voluminous and various. And the biotherapeutic gold, unlike real gold, is corruptible. That is, it can suffer structural damage and activity loss. When discarding the dross and collecting the gold, bioprocessors must be efficient and gentle. They must, to the extent possible, eliminate contaminants and organic debris while ensuring that biotherapeutics avoid aggregation-inducing stresses and retain their integrity during purification and recovery. Anything less compromises purity and reduces yield. To purify and recover biotherapeutics efficiently and gently, bioprocessors must avail themselves of the most appropriate tools and techniques. Here, we talk with several experts about which tools and techniques can help bioprocessors overcome persistent challenges. Some of these experts also touch on new approaches that can help bioprocessors address emerging challenges.

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Spotlight

Anchor Therapeutics

Anchor Therapeutics is pioneering a new class of drugs called Pepducins. Pepducins are a breakthrough approach to targeting and allosterically modulating G-protein coupled receptors (GPCRs) on the inside surface of the cell membrane.

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