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A major challenge during high-throughput and fragment screening is the potential for identifying ‘frequent hitters’ – compounds that affect unrelated targets. Matthew Lloyd from the University of Bath explains why these hits can arise during drug discovery and how machine learning could be the answer to identifying these compounds.
Optimisation of a hit towards a lead happens in a variety of ways, as a lead needs to meet various criteria such as activity, affinity to the target, selectivity, solubility, permeability or metabolic stability to become a promising candidate. A balance between in vitro profiles and pharmacokinetic attributes has to…
While researchers conduct their studies, constraints such as time can impact their work. Dr Ian Holland from the University of Edinburgh spoke with Drug Target Review’s Deputy Editor Victoria Rees to explain how lab automation can offer a solution to these challenges and enhance output for scientists.
Advances in genomic medicine are playing an increasingly important role in the field of cardiology. Better analysis and understanding of patient genomic and epigenomic information can enable more personalised patient treatment and medical intervention. Here, Professor John Giannios considers the potential to use genomic medicine to prevent, monitor, diagnose and…
With over 20 years’ of expertise in phage display, IRBM applies its extensive peptide and antibody libraries to discover lead therapeutic candidates. Dr Licia Tomei, Director of Display Technologies, IRBM, discusses the company’s phage display capabilities and how they accelerate the drug discovery process.
The binding specificity and high binding affinity of therapeutic antibodies makes them an ideal therapy for treating a wide range of human disorders. Advancements in antibody technologies have resulted in huge development success along with a boost in novel and improved treatment strategies. However, specific challenges and considerations are faced…
Neutralisation resistance generated by Spike (S) protein mutations in Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) poses a challenge to antibody therapies for COVID-19. Antibody cocktails targeting the S protein receptor binding domain (RBD) are one way to avoid viral neutralisation escape, however only certain antibody combinations are currently effective.…
With a return to the workplace on the horizon for an increasing number of scientists, Richard Goodwin considers how COVID-19 will impact the ways research is conducted. One outcome he posits is the acceleration of the digital transformation that was already occurring in pharmaceutical R&D.
Included in this ebook are articles on stem cell-derived liver organoids and pluripotent cell-derived endothelial cells.
This ebook has articles on the use of screening to identify COVID-19 drugs and how assessing compound activity could accelerate drug discovery.
In this ebook, discover how organoids can be used in regenerative medicine and how a novel AAV vector for gene therapy was developed.
Within this ebook, find articles on antibodies to combat SARS-CoV-2 and an evaluation of the various therapeutic forms they can take.
This issue includes articles on novel AAV vectors to deliver ocular gene therapy, how phenotypic models of disease are being used in covalent fragment screening and the challenges and opportunities presented by automation in the life sciences. Also in this issue are features on stem cells, antibodies and hit-to-lead.
Dr Björn Frendeus outlines how the growing biology surrounding the inhibitory Fc receptor FcγRIIb defines a target for improving existing and future antibody treatments.
Dr Jo Brewer outlines research into allogeneic products by gene editing stem cells, which has the potential to build a broad family of multiple immune cell types, including T-cell therapies.
