Hundreds of protein-ligand interactions have been identified through a collaboration between the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and Pfizer. Georg ...

The ability to alter proteins to refine control over binding affinity and specificity can create tailored therapeutics with reduced side effects, highly sensitive diagnostic tools, efficient ...

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

Recently, SandboxAQ launched what it claims is the largest publicly available dataset of protein-ligand pairs with annotated experimental binding potency data. According to the company, the ...

Classical pharmacological models have incorporated an “intrinsic efficacy” parameter to capture system-independent effects of G protein–coupled receptor (GPCR) ligands. However, the nonlinear serial ...

Please acknowledge the SIP core facility ( RRID: SCR_018986) in publications, on posters, or in talks if you use any instruments in the SIP core facility. Please include SIP's RRID (RRID: SCR_018986) ...

Biochemistry is the study of the chemicals and chemistry of living organisms. Biochemists study biomolecules (such as proteins, RNA, DNA, sugars, and lipids), their applications and interactions in ...

Transcription factors are a class of proteins that interact with DNA to regulate gene expression. They’re also implicated in many cancers. For years, scientists have considered transcription factors ...

Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...