LassoHTP: A High-Throughput Computational Tool for Lasso Peptide Structure Construction and Modeling
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00945
Abstract: Lasso peptides are a subclass of ribosomally synthesized and post-translationally modified peptides with a slipknot conformation. With superior thermal stability, protease resistance, and antimicrobial activity, lasso peptides are promising candidates for bioengineering and pharmaceutical applications.… read more here.
Keywords: lasso peptide; peptide; high throughput; peptide structure ... See more keywords
A Generalized Attraction-Repulsion Potential and Revisited Fragment Library Improves PEP-FOLD Peptide Structure Prediction.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.1c01293
Abstract: Fast and accurate structure prediction is essential to the study of peptide function, molecular targets, and interactions and has been the subject of considerable efforts in the past decade. In this work, we present improvements… read more here.
Keywords: pep fold; structure; fragment library; peptide structure ... See more keywords
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac715
Abstract: Abstract Motivation Antimicrobial peptides (AMPs) are essential components of therapeutic peptides for innate immunity. Researchers have developed several computational methods to predict the potential AMPs from many candidate peptides. With the development of artificial intelligent… read more here.
Keywords: samppred gat; predicted peptide; prediction; peptide structure ... See more keywords