Machine learning methods for small data challenges in molecular science
B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
Antimicrobial peptides: an update on classifications and databases
Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …
indispensable component of host defenses. They consist of predominantly short cationic …
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays
multidrug resistance. Discovering new antibiotics against A. baumannii has proven …
multidrug resistance. Discovering new antibiotics against A. baumannii has proven …
OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversity
D Kuznetsov, F Tegenfeldt, M Manni… - Nucleic Acids …, 2023 - academic.oup.com
OrthoDB provides evolutionary and functional annotations of genes in a diverse sampling of
eukaryotes, prokaryotes, and viruses. Genomics continues to accelerate our exploration of …
eukaryotes, prokaryotes, and viruses. Genomics continues to accelerate our exploration of …
Enzyme function prediction using contrastive learning
Enzyme function annotation is a fundamental challenge, and numerous computational tools
have been developed. However, most of these tools cannot accurately predict functional …
have been developed. However, most of these tools cannot accurately predict functional …
Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA
Protein–RNA and protein–DNA complexes play critical roles in biology. Despite
considerable recent advances in protein structure prediction, the prediction of the structures …
considerable recent advances in protein structure prediction, the prediction of the structures …
[HTML][HTML] Multiple early factors anticipate post-acute COVID-19 sequelae
Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However,
quantifiable risk factors for PASC and their biological associations are poorly resolved. We …
quantifiable risk factors for PASC and their biological associations are poorly resolved. We …
Predicting multiple conformations via sequence clustering and AlphaFold2
Abstract AlphaFold2 (ref.) has revolutionized structural biology by accurately predicting
single structures of proteins. However, a protein's biological function often depends on …
single structures of proteins. However, a protein's biological function often depends on …
Ancient gene linkages support ctenophores as sister to other animals
A central question in evolutionary biology is whether sponges or ctenophores (comb jellies)
are the sister group to all other animals. These alternative phylogenetic hypotheses imply …
are the sister group to all other animals. These alternative phylogenetic hypotheses imply …
Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine
The human microbiome influences the efficacy and safety of a wide variety of commonly
prescribed drugs. Designing precision medicine approaches that incorporate microbial …
prescribed drugs. Designing precision medicine approaches that incorporate microbial …