Literature DB >> 11238082

RCNPRED: prediction of the residue co-ordination numbers in proteins.

P Fariselli1, R Casadio.   

Abstract

UNLABELLED: The RCNPRED server implements a neural network-based method to predict the co-ordination numbers of residues starting from the protein sequence. Using evolutionary information as input, RCNPRED predicts the residue states of the proteins in the database with 69% accuracy and scores 12 percentage points higher than a simple statistical method. Moreover the server implements a neural network to predict the relative solvent accessibility of each residue. A protein sequence can be directly submitted to RCNPRED: residue co-ordination numbers and solvent accessibility for each chain are returned via e-mail. AVAILABILITY: Freely available to non-commercial users at http://prion.biocomp.unibo.it/rcnpred.html.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11238082     DOI: 10.1093/bioinformatics/17.2.202

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

1.  Real value prediction of protein solvent accessibility using enhanced PSSM features.

Authors:  Darby Tien-Hao Chang; Hsuan-Yu Huang; Yu-Tang Syu; Chih-Peng Wu
Journal:  BMC Bioinformatics       Date:  2008-12-12       Impact factor: 3.169

2.  Protein contact order prediction from primary sequences.

Authors:  Yi Shi; Jianjun Zhou; David Arndt; David S Wishart; Guohui Lin
Journal:  BMC Bioinformatics       Date:  2008-05-30       Impact factor: 3.169

3.  Coupled Mutations-Enabled Glycerol Transportation in an Aquaporin Z Mutant.

Authors:  Zhi Ping; Feng Zhou; Xin Lin; Haibin Su
Journal:  ACS Omega       Date:  2018-04-12
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.