Pcons: a neural-network-based consensus predictor that improves fold recognition.
about
Sequence permutations in the molecular evolution of DNA methyltransferasesInsights into the structure, function and evolution of the radical-SAM 23S rRNA methyltransferase Cfr that confers antibiotic resistance in bacteriaAll are not equal: a benchmark of different homology modeling programsQMEAN server for protein model quality estimationLOMETS: a local meta-threading-server for protein structure predictionDomain analysis of the tubulin cofactor system: a model for tubulin folding and dimerizationIdentification of a new family of putative PD-(D/E)XK nucleases with unusual phylogenomic distribution and a new type of the active siteComprehensive de novo structure prediction in a systems-biology context for the archaea Halobacterium sp. NRC-1A homology model of restriction endonuclease SfiI in complex with DNAInference of relationships in the 'twilight zone' of homology using a combination of bioinformatics and site-directed mutagenesis: a case study of restriction endonucleases Bsp6I and PvuIIPractical lessons from protein structure prediction.RNA:(guanine-N2) methyltransferases RsmC/RsmD and their homologs revisited--bioinformatic analysis and prediction of the active site based on the uncharacterized Mj0882 protein structureEVAcon: a protein contact prediction evaluation serviceThe PD-(D/E)XK superfamily revisited: identification of new members among proteins involved in DNA metabolism and functional predictions for domains of (hitherto) unknown function.Natural history of S-adenosylmethionine-binding proteinsMolecular phylogenetics and comparative modeling of HEN1, a methyltransferase involved in plant microRNA biogenesisStructural features of glycosyltransferases synthesizing major bilayer and nonbilayer-prone membrane lipids in Acholeplasma laidlawii and Streptococcus pneumoniaePconsFold: improved contact predictions improve protein modelsEvaluation of model quality predictions in CASP9Structural and degradative aspects of ornithine decarboxylase antizyme inhibitor 2.Molecular modeling and characterization of the B. thuringiensis and B. thuringiensis LDC-9 cytolytic proteins.Insight into the 3D structure and substrate specificity of previously uncharacterized GNAT superfamily acetyltransferases from pathogenic bacteria.LiveBench-2: large-scale automated evaluation of protein structure prediction servers.The directional atomic solvation energy: an atom-based potential for the assignment of protein sequences to known folds.Can correct protein models be identified?Detection of reliable and unexpected protein fold predictions using 3D-JuryGeneSilico protein structure prediction meta-server.LiveBench-8: the large-scale, continuous assessment of automated protein structure prediction.Decision tree based information integration for automated protein classification.A machine learning information retrieval approach to protein fold recognition.Ab initio protein structure prediction using chunk-TASSERPcons.net: protein structure prediction meta server.Validation of protein models by a neural network approach.Using multiple templates to improve quality of homology models in automated homology modeling.Protein model refinement using an optimized physics-based all-atom force fieldMetaMQAP: a meta-server for the quality assessment of protein models.MQAPsingle: A quasi single-model approach for estimation of the quality of individual protein structure models.CONFOLD: Residue-residue contact-guided ab initio protein folding.Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction.QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.
P2860
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P2860
Pcons: a neural-network-based consensus predictor that improves fold recognition.
description
2001 nî lūn-bûn
@nan
2001 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@ast
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@en
type
label
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@ast
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@en
prefLabel
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@ast
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@en
P2860
P50
P356
P1433
P1476
Pcons: a neural-network-based consensus predictor that improves fold recognition.
@en
P2093
J Lundström
P2860
P304
P356
10.1110/PS.08501
P577
2001-11-01T00:00:00Z