about
Computational Design of the Affinity and Specificity of a Therapeutic T Cell ReceptorAdvantages of proteins being disordered.Inferring the microscopic surface energy of protein-protein interfaces from mutation data.Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions.Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.Exploring angular distance in protein-protein docking algorithms.The scoring of poses in protein-protein docking: current capabilities and future directionsMinimalistic predictor of protein binding energy: contribution of solvation factor to protein binding.How structure defines affinity in protein-protein interactions.Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.Performance of ZDOCK in CAPRI rounds 20-26.Advances in the prediction of protein-peptide binding affinities: implications for peptide-based drug discovery.On the binding affinity of macromolecular interactions: daring to ask why proteins interact.Low-resolution structural modeling of protein interactome.An unexpected way forward: towards a more accurate and rigorous protein-protein binding affinity scoring function by eliminating terms from an already simple scoring function.Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes.A generalized framework for computational design and mutational scanning of T-cell receptor binding interfaces.A flexible docking approach for prediction of T cell receptor-peptide-MHC complexes.Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking.Analyzing machupo virus-receptor binding by molecular dynamics simulationsUsing the concept of transient complex for affinity predictions in CAPRI rounds 20-27 and beyond.A minimal model of protein-protein binding affinities.On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures.Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches.Score_set: a CAPRI benchmark for scoring protein complexes.ATLAS: A database linking binding affinities with structures for wild-type and mutant TCR-pMHC complexes.Performance of ZDOCK and IRAD in CAPRI rounds 28-34.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Prediction of protein-protein binding free energies.
@en
Prediction of protein-protein binding free energies.
@nl
type
label
Prediction of protein-protein binding free energies.
@en
Prediction of protein-protein binding free energies.
@nl
prefLabel
Prediction of protein-protein binding free energies.
@en
Prediction of protein-protein binding free energies.
@nl
P2093
P2860
P356
P1433
P1476
Prediction of protein-protein binding free energies.
@en
P2093
Brian G Pierce
Howook Hwang
Zhiping Weng
P2860
P304
P356
10.1002/PRO.2027
P50
P577
2012-02-02T00:00:00Z