Analysis of several key factors influencing deep learning-based inter-residue contact prediction
出版年份 2019 全文链接
标题
Analysis of several key factors influencing deep learning-based inter-residue contact prediction
作者
关键词
-
出版物
BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2019-08-29
DOI
10.1093/bioinformatics/btz679
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
- (2019) Jie Hou et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features
- (2018) David T Jones et al. BIOINFORMATICS
- CONFOLD2: improved contact-driven ab initio protein structure modeling
- (2018) Badri Adhikari et al. BMC BIOINFORMATICS
- Clustering huge protein sequence sets in linear time
- (2018) Martin Steinegger et al. Nature Communications
- MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
- (2017) Martin Steinegger et al. NATURE BIOTECHNOLOGY
- Improved protein contact predictions with the MetaPSICOV2 server in CASP12
- (2017) Daniel W A Buchan et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Protein structure determination using metagenome sequence data
- (2017) Sergey Ovchinnikov et al. SCIENCE
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- (2017) Sheng Wang et al. PLoS Computational Biology
- ConEVA: a toolbox for comprehensive assessment of protein contacts
- (2016) Badri Adhikari et al. BMC BIOINFORMATICS
- The MG-RAST metagenomics database and portal in 2015
- (2015) Andreas Wilke et al. NUCLEIC ACIDS RESEARCH
- CCMpred—fast and precise prediction of protein residue–residue contacts from correlated mutations
- (2014) Stefan Seemayer et al. BIOINFORMATICS
- MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins
- (2014) David T. Jones et al. BIOINFORMATICS
- FreeContact: fast and free software for protein contact prediction from residue co-evolution
- (2014) László Kaján et al. BMC BIOINFORMATICS
- Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns
- (2014) Marcin J. Skwark et al. PLoS Computational Biology
- Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
- (2013) Magnus Ekeberg et al. PHYSICAL REVIEW E
- Assessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era
- (2013) H. Kamisetty et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evaluation of residue-residue contact prediction in CASP10
- (2013) Bohdan Monastyrskyy et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Deep architectures for protein contact map prediction
- (2012) Pietro Di Lena et al. BIOINFORMATICS
- Predicting protein residue–residue contacts using deep networks and boosting
- (2012) Jesse Eickholt et al. BIOINFORMATICS
- PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
- (2011) David T. Jones et al. BIOINFORMATICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- (2011) Debora S. Marks et al. PLoS One
- Hidden Markov model speed heuristic and iterative HMM search procedure
- (2010) L Steven Johnson et al. BMC BIOINFORMATICS
- NNcon: improved protein contact map prediction using 2D-recursive neural networks
- (2009) A. N. Tegge et al. NUCLEIC ACIDS RESEARCH
- The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes
- (2008) F Meyer et al. BMC BIOINFORMATICS
- Identification of direct residue contacts in protein-protein interaction by message passing
- (2008) M. Weigt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now