About: DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts

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scientific article published on 10 November 2018

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2018 (uk) im November 2018 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu en payares de 2018 (ast) 2018 թվականի նոյեմբերի 10-ին հրատարակված գիտական հոդված (hy) scientific article published on 10 November 2018 (en)
publication date	wds:Q59792338-C41CE8C4-A6BE-4AE4-A5A6-1DB283DAFD6A
publication date	2018-11-10 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q59792338-33FAF9A7-0C33-4084-AEFC-21C3971B7B09
language of work or name	English
cites work	wds:Q59792338-06A897D0-7665-4419-884D-4B8EEA0A8E09 wds:Q59792338-0881CED0-C049-4660-9986-C70C6EECC75E wds:Q59792338-0B4DB00B-EC61-4F6F-9389-8BFD3C1A0A14 wds:Q59792338-0FEEFF9E-EE23-4B14-89D9-7CD57F08A1DC wds:Q59792338-1BE8A40E-3B19-445B-B089-CAF25F80FFF8 wds:Q59792338-26E24AAB-911B-4C92-9273-DB8BCEB5E46D wds:Q59792338-32E1463B-D60A-4952-9A18-32772F127E2C wds:Q59792338-3609274B-7964-4CFC-A1B7-D2BFF12D78F3 wds:Q59792338-3CA5FEF0-44F8-4E57-AC15-0EE5DD6A94AB wds:Q59792338-3EE57245-34C5-4491-851C-4C97FD08898D wds:Q59792338-44FB3241-2061-4842-918B-E1E44674055B wds:Q59792338-4B1E2663-B94F-48F6-9388-7C16141D1592 wds:Q59792338-5872186A-2249-43D2-A2E5-F616C0AF44AE wds:Q59792338-5BDF272A-6879-46F1-AA3A-967199984CBF wds:Q59792338-79EF9D36-53A7-450E-974A-E652245B8B32 wds:Q59792338-7B0BAEE2-65D3-48D1-98FB-226D06C363C4 wds:Q59792338-803858F8-B27B-4B02-96D4-1285F4740ADB wds:Q59792338-887D60D2-FA03-4293-8698-00D2E172D49C wds:Q59792338-98A7A4F2-F2D2-4A43-9344-14F842A9E512 wds:Q59792338-A1445EA2-4EBE-4878-81F0-E7FDBD1A1268 wds:Q59792338-AC542284-A5C3-4BC2-ABE4-C9F1FA00510C wds:Q59792338-B0FE109A-ECF7-4401-BDA5-09B1236D43DA wds:Q59792338-C516C279-91B5-4022-B912-D5BC45D56AF3 wds:Q59792338-C9FD0C01-1266-40A5-8B31-0A96F3098505 wds:Q59792338-CC2D0EFD-92E4-49FC-9399-45978549C66B wds:Q59792338-D1E174CE-CAA0-4CEE-96D2-DC3B56F908AC wds:Q59792338-D437CAB6-54BA-4CF4-8E04-054BD8B2495A wds:Q59792338-DC89559D-C499-4B9D-A809-8CE2ACD21F98 wds:Q59792338-E49EE633-4865-45E0-90C7-D33E82ADE596 wds:Q59792338-E74128FB-E7BA-4003-B4E8-EED85E77B1D6 wds:Q59792338-F6C7A814-7F7E-4C30-8911-FA4313D3E038
cites work	A large-scale experiment to assess protein structure prediction methods. Assessment of domain boundary predictions and the prediction of intramolecular contacts in CASP8. Protein 3D structure computed from evolutionary sequence variation Protein structure determination using metagenome sequence data Direct-coupling analysis of residue coevolution captures native contacts across many protein families Assessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins. CONFOLD: Residue-residue contact-guided ab initio protein folding. Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments Improved contact predictions using the recognition of protein like contact patterns Predicting protein contact map using evolutionary and physical constraints by integer programming Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models CCMpred--fast and precise prediction of protein residue-residue contacts from correlated mutations Deep learning SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity. Deep architectures for protein contact map prediction A comprehensive assessment of sequence-based and template-based methods for protein contact prediction SCOPe: Structural Classification of Proteins--extended, integrating SCOP and ASTRAL data and classification of new structures CONFOLD2: improved contact-driven ab initio protein structure modeling. SCOPe: Manual Curation and Artifact Removal in the Structural Classification of Proteins - extended Database Using inferred residue contacts to distinguish between correct and incorrect protein models Assessment of contact predictions in CASP12: co-evolution and deep learning coming of age. DNCON2: Improved protein contact prediction using two-level deep convolutional neural networks. Capturing Non-Local Interactions by Long Short Term Memory Bidirectional Recurrent Neural Networks for Improving Prediction of Protein Secondary Structure, Backbone Angles, Contact Numbers, and Solvent Accessibility Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks CASP2: report on ab initio predictions A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy Reconstruction of 3D structures from protein contact maps Protein structure prediction using Rosetta in CASP12.
author name string	wds:Q59792338-13E9E3A8-AE77-44D8-BD31-921ECB4F567D wds:Q59792338-70888E47-E8F2-4A45-8CAB-293CF6FD3D00 wds:Q59792338-70D53F9A-43EF-4388-9E8A-AC894A64656E wds:Q59792338-E72BD3A5-C07E-4AC3-8CE3-4FF208E3E411
author name string	Haipeng Gong Wenxuan Zhang Di Shao Wenze Ding
rdfs:label	DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (en) DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (nl)
skos:prefLabel	DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (en) DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (nl)
name	DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (en) DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (nl)
author	wds:Q59792338-47AA85E4-471F-4611-BB9B-51DDB30C1221
author	Wenzhi Mao
title	wds:Q59792338-9CFF9E4C-0C14-4E35-B186-DFF21CA197D5
title	DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts (en)
page(s)	wds:Q59792338-68EFA5F8-BF9A-45A8-BFC8-E83E8D3B4380
page(s)	503-510
instance of	wds:Q59792338-F087061B-8F8E-41B7-BDE6-6CF5A281E226
instance of	scholarly article
PubMed ID	wds:Q59792338-6E58B670-5E10-492C-BD52-E4B3F0298884
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30505403
PubMed ID	30505403
published in	wds:Q59792338-0D48A61F-1BDD-4EBA-9B04-74DF2BCCE0E3
published in	Computational and Structural Biotechnology Journal

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