Protein single-model quality assessment by feature-based probability density functions.
about
DeepQA: improving the estimation of single protein model quality with deep belief networksUniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic samplingConEVA: a toolbox for comprehensive assessment of protein contacts.QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.Prediction of Local Quality of Protein Structure Models Considering Spatial Neighbors in Graphical Models.Determining protein similarity by comparing hydrophobic core structure.VoroMQA: Assessment of protein structure quality using interatomic contact areas.Identify High-Quality Protein Structural Models by Enhanced K-Means.ProQ3: Improved model quality assessments using Rosetta energy terms.ProQ3D: improved model quality assessments using deep learning.An overview of comparative modelling and resources dedicated to large-scale modelling of genome sequences.SVMQA: support-vector-machine-based protein single-model quality assessment.A Template-Based Protein Structure Reconstruction Method Using Deep Autoencoder Learning.MLACP: machine-learning-based prediction of anticancer peptides.eRepo-ORP: Exploring the Opportunity Space to Combat Orphan Diseases with Existing Drugs.DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.HBPred: a tool to identify growth hormone-binding proteins.Role of solvent accessibility for aggregation-prone patches in protein foldingiGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
P2860
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P2860
Protein single-model quality assessment by feature-based probability density functions.
description
2016 nî lūn-bûn
@nan
2016 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Protein single-model quality assessment by feature-based probability density functions.
@ast
Protein single-model quality assessment by feature-based probability density functions.
@en
type
label
Protein single-model quality assessment by feature-based probability density functions.
@ast
Protein single-model quality assessment by feature-based probability density functions.
@en
prefLabel
Protein single-model quality assessment by feature-based probability density functions.
@ast
Protein single-model quality assessment by feature-based probability density functions.
@en
P2860
P356
P1433
P1476
Protein single-model quality assessment by feature-based probability density functions.
@en
P2093
Jianlin Cheng
Renzhi Cao
P2860
P2888
P356
10.1038/SREP23990
P407
P577
2016-04-04T00:00:00Z
P5875
P6179
1010388252