AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes. Issue Volume 48:Issue W1(2020) (8th May 2020)
- Record Type:
- Journal Article
- Title:
- AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes. Issue Volume 48:Issue W1(2020) (8th May 2020)
- Main Title:
- AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes
- Authors:
- Jin, Shikai
Contessoto, Vinicius G
Chen, Mingchen
Schafer, Nicholas P
Lu, Wei
Chen, Xun
Bueno, Carlos
Hajitaheri, Arya
Sirovetz, Brian J
Davtyan, Aram
Papoian, Garegin A
Tsai, Min-Yeh
Wolynes, Peter G - Abstract:
- Abstract: The accurate and reliable prediction of the 3D structures of proteins and their assemblies remains difficult even though the number of solved structures soars and prediction techniques improve. In this study, a free and open access web server, AWSEM-Suite, whose goal is to predict monomeric protein tertiary structures from sequence is described. The model underlying the server's predictions is a coarse-grained protein force field which has its roots in neural network ideas that has been optimized using energy landscape theory. Employing physically motivated potentials and knowledge-based local structure biasing terms, the addition of homologous template and co-evolutionary restraints to AWSEM-Suite greatly improves the predictive power of pure AWSEM structure prediction. From the independent evaluation metrics released in the CASP13 experiment, AWSEM-Suite proves to be a reasonably accurate algorithm for free modeling, standing at the eighth position in the free modeling category of CASP13. The AWSEM-Suite server also features a front end with a user-friendly interface. The AWSEM-Suite server is a powerful tool for predicting monomeric protein tertiary structures that is most useful when a suitable structure template is not available. The AWSEM-Suite server is freely available at: https://awsem.rice.edu .
- Is Part Of:
- Nucleic acids research. Volume 48:Issue W1(2020)
- Journal:
- Nucleic acids research
- Issue:
- Volume 48:Issue W1(2020)
- Issue Display:
- Volume 48, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 48
- Issue:
- 1
- Issue Sort Value:
- 2020-0048-0001-0000
- Page Start:
- W25
- Page End:
- W30
- Publication Date:
- 2020-05-08
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gkaa356 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15549.xml