The nascent field of targeted protein degradation (TPD) could revolutionize biomedicine due to the ability of degrader molecules to selectively modulate disease-relevant proteins. A key limitation to ...

A computational deep learning approach is used to design synthetic proteins that target the neosurfaces formed by protein–ligand interactions, with applications in the development of new therapeutic m...

Regulatory T cells keep the immune system in check to maintain homeostasis and restrain inflammation. This Review discusses strategies to harness these cells therapeutically for autoimmunity, transpla...

N6-methyladenosine (m6A) is an mRNA modification influencing gene expression. Advanced methodologies for mapping m6A enhance understanding of its dynamic roles and interactions. In this Primer, Moshit...

Abstract. Identification of DNA-binding proteins (DBPs) is a crucial task in genome annotation, as it aids in understanding gene regulation, DNA replicatio

This study introduces the Protein Importance Calculator (PIC), a deep learning model designed to predict human essential proteins (HEPs) crucial for survival and development. Unlike conventional metho...

Background The ambient temperature of all habitats is a key physical property that shapes the biology of microbes inhabiting them. The optimal growth temperature (OGT) of a microbe, is therefore a key...

Abstract. MicroRNAs (miRNAs) are small non-coding RNAs (18–26 nucleotides) that regulate gene expression by interacting with target mRNAs, affecting variou

Abstract. InterPro (https://www.ebi.ac.uk/interpro) is a freely accessible resource for the classification of protein sequences into families. It integrate

Abstract. The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with a comprehensive, high-quality and freely acce