REFinder: Mining new enzymes from metagenomes
REFinder improves enzyme discovery from metagenomes by combining alignment-free annotation with targeted assembly, identifying more novel enzymes at lower cost than traditional methods.
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Emory UniversityORCID 0000-0002-0172-3716Unclaimed ORCID profile · follow to get notified of new preprints
6 papers
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REFinder improves enzyme discovery from metagenomes by combining alignment-free annotation with targeted assembly, identifying more novel enzymes at lower cost than traditional methods.
Puneet Rawat, R. Prabakaran, Niccolò Cardente…·M. Michael Gromiha
Amylo-Pipe integrates mechanistic and kinetic prediction tools for protein and peptide aggregation, offering a web interface for assessing aggregation behavior and supporting protein engineering.
This study evaluates protein embeddings' reliability by introducing a model-agnostic scoring framework to quantify their ability to capture biologically relevant information.
This paper introduces DNA language models to predict enzymatic potential in metagenomic reads, identifying new enzymes and expanding functional annotations.
Puneet Rawat, Silvia Crescioli, R. Prabakaran…·Janice M. Reichert
YAbS catalogues over 2,900 commercially sponsored antibody therapeutics, from clinical entry since 2000 to approval, with milestone-date filtering for pipeline, trend and phase-length analyses; over 450 are openly accessible.