Literature DB >> 31677504

PeSA: A software tool for peptide specificity analysis.

Emine Topcu1, Kyle K Biggar2.   

Abstract

The discovery and characterization of molecular interactions is crucial towards a better understanding of complex biological processes. Particularly protein-protein interactions (i.e., PPIs), which are responsible for a variety of cellular functions from intracellular signaling to enzyme-substrate specificity, have been studied broadly over the past decades. Position-specific scoring matrices (PSSM) in particular are used extensively to help determine interaction specificity or candidate interaction motifs at the residue level. However, not all studies successfully report their results as a candidate interaction motif. In many cases, this may be due to a lack of suitable tools for simple analysis and motif generation. Peptide Specificity Analyst (PeSA) was developed with the goal of filling this information gap and providing an easy to use software to aid peptide array analysis and motif generation. PeSA utilizes two models of motif creation: (1) frequency-based using a user-defined peptide list, and (2) weight-based using experimental binding results. The ability to produce motifs effortlessly will make studying, interpreting and disseminating peptide specificity results in an effortless and straightforward process.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Motif; Oriented peptide array library; Peptide specificity; Permutation array; Position-specific scoring matrix

Mesh:

Substances:

Year:  2019        PMID: 31677504     DOI: 10.1016/j.compbiolchem.2019.107145

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  3 in total

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Authors:  Anand Chopra; William G Willmore; Kyle K Biggar
Journal:  Biomolecules       Date:  2022-04-27

2.  Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space.

Authors:  Ewerton Cristhian Lima de Oliveira; Kauê Santana; Luiz Josino; Anderson Henrique Lima E Lima; Claudomiro de Souza de Sales Júnior
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

3.  Evaluation of Jumonji C lysine demethylase substrate preference to guide identification of in vitro substrates.

Authors:  Matthew Hoekstra; Anand Chopra; William G Willmore; Kyle K Biggar
Journal:  STAR Protoc       Date:  2022-03-30
  3 in total

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