Could these insights into bioassay design enrich your drug discovery programme?

| February 1, 2018

article image
Drug discovery is the search for the next breakthrough medicine that will ultimately improve a patient’s quality of life. Early drug discovery in particular, is an exciting but complex journey, requiring thousands or even millions of compounds to be screened in the hope of finding that needle in a haystack. But, to have any chance of finding this all-important medicine, the bioassays you use to assess the activity or potency of your compounds needs to be designed with care. Below we share some of the key principles of bioassay design that can help you construct the best bioassay for your needs.

Spotlight

Genetics & Applications

Genetics and Applications (G&A) is the official journal of the Institute for Genetic Engineering and Biotechnology, University of Sarajevo. It is envisaged as an international journal issued twice a year in print and online format, publishing peer-reviewed articles of novel and significant discoveries in the fields of basic and applied genetics. Special issues or supplements may also be produced from time to time upon agreement with the Editorial Board.

OTHER ARTICLES
INDUSTRIAL IMPACT

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.

Read More

2 Small-Cap Biotech Stocks You Haven't Heard of, But Should Know About

Article | January 20, 2021

With everything that's going on with the COVID-19 pandemic, many healthcare companies have grabbed plenty of spotlight during these challenging times. At the same time, a number of otherwise promising businesses have slipped under the radar. That's especially true for small-cap biotech stocks that aren't actively involved in developing tests, vaccines or treatments for COVID-19. Vaccine developers, protective equipment producers, and healthcare service providers are all attracting plenty of attention during this pandemic, but there are just as many promising biotech stocks that aren't involved in these areas. Here are two such companies that you might have missed, but they deserve a spot on your watch list.

Read More

Cell Out? Lysate-Based Expression an Option for Personalized Meds

Article | January 20, 2021

Cell-free expression (CFE) is the practice of making a protein without using a living cell. In contrast with cell line-based methods, production is achieved using a fluid containing biological components extracted from a cell, i.e., a lysate. CFE offers potential advantages for biopharma according to Philip Probert, PhD, a senior scientist at the Centre for Process Innovation in the U.K.

Read More

Wisconsin biotech companies could play key roles in long-term economic recovery from COVID-19 pandemic

Article | January 20, 2021

Whether it’s called a modern “Manhattan Project” or a medical moon shot, the concept of long-term economic recovery rests on how confident people are they won’t risk serious illness by venturing forth in public again. Wisconsin stands to be a significant part of such an undertaking, whatever it’s called. The shorter-term debate is well under way over the gradual lifting of COVID-19 emergency rules, such as the now-extended “safer-at-home” order in Wisconsin. At least a dozen states, including regional coalitions on the East and West coasts, are exploring next steps as they seek to balance responses to the virus with calls for reopening the economy, at least, in part. Wisconsin’s ability to shape longer-term responses will come from private and public resources, which range from companies engaged in production of diagnostics.

Read More

Spotlight

Genetics & Applications

Genetics and Applications (G&A) is the official journal of the Institute for Genetic Engineering and Biotechnology, University of Sarajevo. It is envisaged as an international journal issued twice a year in print and online format, publishing peer-reviewed articles of novel and significant discoveries in the fields of basic and applied genetics. Special issues or supplements may also be produced from time to time upon agreement with the Editorial Board.

Events