Hidden Markov model approach for identifying the modular framework of the protein backbone.
about
Sampling realistic protein conformations using local structural biasA generative, probabilistic model of local protein structureLocal protein structure prediction using discriminative modelsProtein flexibility in the light of structural alphabetsDissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifsFragment-HMM: a new approach to protein structure predictionDetection of a fourth orbivirus non-structural proteinSA-Search: a web tool for protein structure mining based on a Structural AlphabetPrediction of protein local structures and folding fragments based on building-block library.Analysis and prediction of protein local structure based on structure alphabets.Protein sequence and structure alignments within one framework.CLePAPS: fast pair alignment of protein structures based on conformational letters.Protein structure search and local structure characterizationA New Hidden Markov Model for Protein Quality Assessment Using Compatibility Between Protein Sequence and Structure.Mining protein loops using a structural alphabet and statistical exceptionalityStructural alphabets derived from attractors in conformational space.Incorporation of local structural preference potential improves fold recognition.Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone anglesSCit: web tools for protein side chain conformation analysisProtein structural similarity search by Ramachandran codes.Structural deformation upon protein-protein interaction: a structural alphabet approach.Predicting the molecular interactions of CRIP1a-cannabinoid 1 receptor with integrated molecular modeling approachesExtension of a local backbone description using a structural alphabet: a new approach to the sequence-structure relationship.Exploring the potential of a structural alphabet-based tool for mining multiple target conformations and target flexibility insight.Characterization and Prediction of Protein Flexibility Based on Structural Alphabets.Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks.A critical assessment of hidden markov model sub-optimal sampling strategies applied to the generation of peptide 3D models.Clustering of amino acids for protein secondary structure prediction.Characterization of Conformational Patterns in Active and Inactive Forms of Kinases Using Protein Blocks Approach
P2860
Q21563518-079897F4-FBF4-45FA-A75A-8B71F9DE82F3Q24650447-8595A6B7-241E-4581-8995-4201BCBF3D25Q25255209-4191F42B-6F2B-42BF-9A33-3A100D16E807Q26826940-51773C8B-55F4-4291-9F19-050AB637B999Q27496480-F3F37CDF-5964-4113-90A9-DBDB9839EC7FQ28291690-BA1B43D6-E1D4-4016-A425-E1EEB288DF84Q28743968-E02E47DD-D441-465E-B47C-2D02B1213750Q30341993-CD290DBD-299D-4FF0-A204-5B795877EA72Q30367309-CE04D5DF-CF9E-4508-A0AC-FCA543B03A2CQ30367312-AC5008BF-7F4D-4C87-AEE1-8C74A7B1CEBEQ30368590-A151FD98-2F02-468B-A86F-71FB2CC4D257Q30369327-E07A89F0-4E8A-4478-B425-272F382FAE38Q30371559-110FAC5B-263E-4562-B765-28E338E9C0FCQ30377274-DD13BB5D-2FFE-401D-86B0-AF21C99BAA8DQ30385373-8463A7A6-B318-4930-8A7F-ED880336682CQ30385850-7E969C03-03AD-47D3-803E-540BF64F60A6Q30400311-F895AFD9-5723-4909-A3AA-C562601545CDQ30420706-688E5AE2-9F3D-4081-969B-43D43E1462DDQ31081640-4566D000-2BFE-4C17-AE70-CAAAECF16F7FQ33294999-3184A74D-2264-4F0E-A26E-D5713FF8949DQ33321683-C7F3DF7A-22BB-4512-B740-172C0CCB3842Q35159050-4D40ED25-AD4E-4E1E-9C6F-F3EBE554DCA2Q38270560-8747935D-B083-4576-A5BE-B4A02F32B045Q38619920-14D53520-3B89-4521-AE9D-6D2DC8FB976EQ39359047-F83BA3FF-F645-4779-BF6F-17A205622820Q40744027-E3D0B8A3-867C-458C-B965-F2073E7EADC3Q51696589-68C85B26-BA42-4885-9CC9-06E83E9BDA77Q51992399-C81E6D9C-ACA2-4E44-9C05-B41FD299026DQ58796827-CEF96057-473E-4C1F-8B60-403EEA991D1B
P2860
Hidden Markov model approach for identifying the modular framework of the protein backbone.
description
1999 nî lūn-bûn
@nan
1999 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Hidden Markov model approach f ...... ework of the protein backbone.
@ast
Hidden Markov model approach f ...... ework of the protein backbone.
@en
type
label
Hidden Markov model approach f ...... ework of the protein backbone.
@ast
Hidden Markov model approach f ...... ework of the protein backbone.
@en
prefLabel
Hidden Markov model approach f ...... ework of the protein backbone.
@ast
Hidden Markov model approach f ...... ework of the protein backbone.
@en
P2093
P2860
P356
P1476
Hidden Markov model approach f ...... mework of the protein backbone
@en
P2093
A C Camproux
J F Boisvieux
J P Chevrolat
P2860
P304
P356
10.1093/PROTEIN/12.12.1063
P50
P577
1999-12-01T00:00:00Z