Combining local-structure, fold-recognition, and new fold methods for protein structure prediction
- 15 October 2003
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 53 (S6) , 491-496
- https://doi.org/10.1002/prot.10540
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Hidden Markov models that use predicted local structure for fold recognition: Alphabets of backbone geometryProteins-Structure Function and Bioinformatics, 2003
- EVA: continuous automatic evaluation of protein structure prediction serversBioinformatics, 2001
- Rosetta in CASP4: Progress in ab initio protein structure predictionProteins-Structure Function and Bioinformatics, 2001
- What is the value added by human intervention in protein structure prediction?Proteins-Structure Function and Bioinformatics, 2001
- Predicting protein structure using only sequence informationProteins-Structure Function and Bioinformatics, 1999
- Hidden Markov models for detecting remote protein homologies.Bioinformatics, 1998
- Predicting protein structure using hidden Markov modelsProteins-Structure Function and Bioinformatics, 1997
- Knowledge‐based protein secondary structure assignmentProteins-Structure Function and Bioinformatics, 1995
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical featuresBiopolymers, 1983
- The protein data bank: A computer-based archival file for macromolecular structuresJournal of Molecular Biology, 1977