Dehydrolactone (middle panel) in a polypeptide undergoes an intermolecular rearrangement to generate a ketide with a new carbon-carbon bond in the backbone. The researchers installed dehydrolactone in ...

Advances in protein sequencing enable deeper insights and facilitate applications such as biomarker discovery and ...

A Python-based tool for analyzing protein sequences and calculating various physicochemical properties. This tool uses BioPython's ProtParam module to analyze FASTA sequences and exports the results ...

Two recent AI methods, RFdiffusion and ProteinMPNN, have totally changed the nature of biotherapeutics discovery.

All biological function is dependent on how different proteins interact with each other. Protein-protein interactions ...

Deep generative models that learn from the distribution of natural protein sequences and structures may enable the design of new proteins with valuable functions. While the majority of today’s models ...

In a study published in Nature Structural and Molecular Biology, scientists from the Department of Medical Biochemistry and ...

This paper reviews studies that use machine learning to predict protein-ligand binding sites from sequence data, focusing on recent advancements. The review examines various embedding methods and ...

GMP Human FGF-8b Protein (Cat. No. GMP-FGBH16) and Human FGF-8b Protein, Premium Grade (Cat. No. FGB-H5115) exhibit similar ...

(3,4) These proteins are generally classified into two categories based on their ability to bind DNA or RNA, although many NABPs can bind both exhibiting sequence and structural specificities.

A new discovery offers hope for Huntington’s disease. This discovery provides hope that a DNA repair process may help slow or ...

Nonetheless, with a thorough re-examination of the training and testing procedures, this model can be widely applicable for predicting genome-wide protein-DNA binding sites. Sequence-specific DNA ...