Journal ArticleDOI
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.
TLDR
This paper used ensembles of bidirectional recurrent neural network architectures, PSI-BLAST-derived profiles, and a large non-redundant training set to derive two new predictors: SSpro and SSpro8.Abstract:
Secondary structure predictions are increasingly becoming the workhorse for several methods aiming at predicting protein structure and function. Here we use ensembles of bidirectional recurrent neural network architectures, PSI-BLAST-derived profiles, and a large nonredundant training set to derive two new predictors: (a) the second version of the SSpro program for secondary structure classification into three categories and (b) the first version of the SSpro8 program for secondary structure classification into the eight classes produced by the DSSP program. We describe the results of three different test sets on which SSpro achieved a sustained performance of about 78% correct prediction. We report confusion matrices, compare PSI-BLAST to BLAST-derived profiles, and assess the corresponding performance improvements. SSpro and SSpro8 are implemented as web servers, available together with other structural feature predictors at: http://promoter.ics.uci.edu/BRNN-PRED/. Proteins 2002;47:228–235. © 2002 Wiley-Liss, Inc.read more
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Journal ArticleDOI
Protein structure prediction on the Web: a case study using the Phyre server.
TL;DR: This protocol provides a guide to interpreting the output of structure prediction servers in general and one such tool in particular, the protein homology/analogy recognition engine (Phyre), which can reliably detect up to twice as many remote homologies as standard sequence-profile searching.
Journal ArticleDOI
Template-based protein structure modeling using the RaptorX web server
Morten Källberg,Morten Källberg,Haipeng Wang,Sheng Wang,Jian Peng,Zhiyong Wang,Hui Lu,Jinbo Xu +7 more
TL;DR: This protocol presents a community-wide web-based method using RaptorX (http://raptorx.uchicago.edu/) for protein secondary structure prediction, template-based tertiary structure modeling, alignment quality assessment and sophisticated probabilistic alignment sampling.
Journal ArticleDOI
Genome-Wide Analysis of NBS-LRR–Encoding Genes in Arabidopsis
TL;DR: The observed diversity of these NBS-LRR proteins indicates the variety of recognition molecules available in an individual genotype to detect diverse biotic challenges.
Proceedings Article
Generating Text with Recurrent Neural Networks
TL;DR: The power of RNNs trained with the new Hessian-Free optimizer by applying them to character-level language modeling tasks is demonstrated, and a new RNN variant that uses multiplicative connections which allow the current input character to determine the transition matrix from one hidden state vector to the next is introduced.
References
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Journal ArticleDOI
Basic Local Alignment Search Tool
TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Journal ArticleDOI
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
Stephen F. Altschul,Thomas L. Madden,Alejandro A. Schäffer,Jinghui Zhang,Zheng Zhang,Webb Miller,David J. Lipman +6 more
TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
Journal ArticleDOI
The Protein Data Bank
Helen M. Berman,John D. Westbrook,Zukang Feng,Gary L. Gilliland,Talapady N. Bhat,Helge Weissig,Ilya N. Shindyalov,Philip E. Bourne +7 more
TL;DR: The goals of the PDB are described, the systems in place for data deposition and access, how to obtain further information and plans for the future development of the resource are described.
Journal ArticleDOI
Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features
Wolfgang Kabsch,Chris Sander +1 more
TL;DR: A set of simple and physically motivated criteria for secondary structure, programmed as a pattern‐recognition process of hydrogen‐bonded and geometrical features extracted from x‐ray coordinates is developed.
Journal ArticleDOI
Protein secondary structure prediction based on position-specific scoring matrices
TL;DR: A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices generated by PSI-BLAST and achieved an average Q3 score of between 76.5% to 78.3% depending on the precise definition of observed secondary structure used, which is the highest published score for any method to date.
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Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features
Wolfgang Kabsch,Chris Sander +1 more