Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions.
about
Structural and physico-chemical effects of disease and non-disease nsSNPs on proteinsPhosphorylation by PINK1 releases the UBL domain and initializes the conformational opening of the E3 ubiquitin ligase ParkinComputational Design of the Affinity and Specificity of a Therapeutic T Cell ReceptorCombining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutationPredicting Binding Free Energy Change Caused by Point Mutations with Knowledge-Modified MM/PBSA MethodDetermination of binding affinity upon mutation for type I dockerin-cohesin complexes from Clostridium thermocellum and Clostridium cellulolyticum using deep sequencingMechismo: predicting the mechanistic impact of mutations and modifications on molecular interactions.Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experimentData-driven models for protein interaction and design.Uncovering the determinants of a highly perturbed tyrosine pKa in the active site of ketosteroid isomerase.Inferring the microscopic surface energy of protein-protein interfaces from mutation data.Molecular Determinants of Mutant Phenotypes, Inferred from Saturation Mutagenesis DataDetermining effects of non-synonymous SNPs on protein-protein interactions using supervised and semi-supervised learning.Protein-protein interface detection using the energy centrality relationship (ECR) characteristic of proteinsExtending RosettaDock with water, sugar, and pH for prediction of complex structures and affinities for CAPRI rounds 20-27Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnosticsCooperation of B cell lineages in induction of HIV-1-broadly neutralizing antibodies.The scoring of poses in protein-protein docking: current capabilities and future directionsIntegrating water exclusion theory into β contacts to predict binding free energy changes and binding hot spotsSORTCERY-A High-Throughput Method to Affinity Rank Peptide Ligands.Deep mutational scanning: a new style of protein scienceHigh-resolution sequence-function mapping of full-length proteins.Co-Occurring Atomic Contacts for the Characterization of Protein Binding Hot SpotsBlind prediction of interfacial water positions in CAPRIDeep Mutational Scans as a Guide to Engineering High Affinity T Cell Receptor Interactions with Peptide-bound Major Histocompatibility Complex.Insights from engineering the Affibody-Fc interaction with a computational-experimental method.MutaBind estimates and interprets the effects of sequence variants on protein-protein interactions.Performance of ZDOCK in CAPRI rounds 20-26.Enriching Traditional Protein-protein Interaction Networks with Alternative Conformations of Proteins.Modeling protein-protein and protein-peptide complexes: CAPRI 6th edition.A generalized framework for computational design and mutational scanning of T-cell receptor binding interfaces.Destabilization of the dimer interface is a common consequence of diverse ALS-associated mutations in metal free SOD1AB-Bind: Antibody binding mutational database for computational affinity predictions.Folding of Protein Ions in the Gas Phase after Cation-to-Anion Proton-Transfer ReactionsAbDesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences.Structural Interface Forms and Their Involvement in Stabilization of Multidomain Proteins or Protein ComplexesUsing the concept of transient complex for affinity predictions in CAPRI rounds 20-27 and beyond.Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure.Diabetes mellitus caused by mutations in human insulin: analysis of impaired receptor binding of insulins Wakayama, Los Angeles and Chicago using pharmacoinformatics.Score_set: a CAPRI benchmark for scoring protein complexes.
P2860
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P2860
Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Community-wide evaluation of m ...... protein-protein interactions.
@ast
Community-wide evaluation of m ...... protein-protein interactions.
@en
Community-wide evaluation of m ...... protein-protein interactions.
@nl
type
label
Community-wide evaluation of m ...... protein-protein interactions.
@ast
Community-wide evaluation of m ...... protein-protein interactions.
@en
Community-wide evaluation of m ...... protein-protein interactions.
@nl
prefLabel
Community-wide evaluation of m ...... protein-protein interactions.
@ast
Community-wide evaluation of m ...... protein-protein interactions.
@en
Community-wide evaluation of m ...... protein-protein interactions.
@nl
P2093
P2860
P50
P356
P1433
P1476
Community-wide evaluation of m ...... protein-protein interactions.
@en
P2093
Alexandre M J J Bonvin
Chaok Seok
Daron M Standley
David R Hall
Dimitri Gillis
Dmitri Beglov
Dmitry Korkin
Eiji Kanamori
Genki Terashi
Hahnbeom Park
P2860
P304
P356
10.1002/PROT.24356
P407
P50
P577
2013-08-23T00:00:00Z