Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
about
In Silico Exploration for Novel Type-I Inhibitors of Tie-2/TEK: The Performance of Different Selection Strategy in Selecting Virtual Screening CandidatesAssessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set.A-kinase anchoring protein BIG3 coordinates oestrogen signalling in breast cancer cells.Recognition of methylated peptides by Drosophila melanogaster polycomb chromodomainInvestigate the binding of catechins to trypsin using docking and molecular dynamics simulationRecent work in the development and application of protein-peptide docking.Discovery of Rho-kinase inhibitors by docking-based virtual screening.Discovery and optimization of triazine derivatives as ROCK1 inhibitors: molecular docking, molecular dynamics simulations and free energy calculations.Exploring the prominent performance of CX-4945 derivatives as protein kinase CK2 inhibitors by a combined computational study.Binding mechanisms of 1,4-dihydropyridine derivatives to L-type calcium channel Cav1.2: a molecular modeling study.Mapping inhibitor response to the in-frame deletions, insertions and duplications of epidermal growth factor receptor (EGFR) in non-small cell lung cancer.Exploring the binding mechanisms of MIF to CXCR2 using theoretical approaches.Theoretical study on the interaction of pyrrolopyrimidine derivatives as LIMK2 inhibitors: insight into structure-based inhibitor design.Sperm-specific AKAP3 is a dual-specificity anchoring protein that interacts with both protein kinase a regulatory subunits via conserved N-terminal amphipathic peptides.Combating Drug-Resistant Mutants of Anaplastic Lymphoma Kinase with Potent and Selective Type-I1/2 Inhibitors by Stabilizing Unique DFG-Shifted Loop Conformation.Importance of protein flexibility on molecular recognition: modeling binding mechanisms of aminopyrazine inhibitors to Nek2.Theoretical studies on the selective mechanisms of GSK3β and CDK2 by molecular dynamics simulations and free energy calculations.Structural basis of the interactions between CXCR4 and CXCL12/SDF-1 revealed by theoretical approaches.Construction of explicit models to correlate the structure and the inhibitory activity of aldose reductase: Flavonoids and sulfonyl-pyridazinones as inhibitors.Theoretical studies on beta and delta isoform-specific binding mechanisms of phosphoinositide 3-kinase inhibitors.Discovery and Identification of Pyrazolopyramidine Analogs as Novel Potent Androgen Receptor Antagonists
P2860
Q28820755-F2ABC19C-811D-48B6-857C-0C5B2465FCD8Q30835329-D2292CF2-52B8-4BD1-AD34-2425C25ABAAAQ33908447-ECE82A0C-D214-4E14-B057-3E5CC17D4D36Q34644011-5DE822CC-9AFD-461B-9FCB-F49638075A6EQ35621574-A9974243-8B06-4A33-A344-9760F2540E72Q38037195-E8C8DE54-9895-4C73-B822-B7658E374B48Q39172399-385D4D75-AE1C-484A-A7C3-F4F917CA5727Q39206564-C9A8294A-03F0-4956-A8AE-E425B859DEAAQ39227396-044095A7-4DA7-4F14-AE90-5E8DDD8675ABQ40206445-A5C85206-043A-4CE7-9C57-CF9F979CFCE5Q41147805-BF5CBA54-E43B-41BA-8141-9ADF51A5963CQ41667510-EF1BE162-AF02-42BC-AA84-D76482378B8AQ44274365-D51F43CD-7B46-4AE1-8048-83E7FC24FBDAQ46267348-C9772E79-04A3-4591-907D-5879F41FB768Q47094795-546237D6-8832-4914-9AAE-EB84414E8B3DQ47225930-7672D2FC-8CF0-4550-ACF9-AC359A638AF3Q48930138-2B801504-CFAF-4C68-A23C-8BE624372EB4Q50965349-B164C76E-85E4-4B2E-8877-EFB8E959AEE6Q51498011-C7D7F885-E614-4CF4-8832-2AA02D68CDD2Q54442312-AA6018AE-31E0-4261-B2EA-BDCBCBC4E233Q58698253-A817A147-CFD4-474C-A0CD-83B724676C00
P2860
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
description
2011 nî lūn-bûn
@nan
2011 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@ast
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@en
type
label
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@ast
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@en
prefLabel
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@ast
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@en
P2860
P50
P356
P1433
P1476
Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy
@en
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR294
P407
P577
2011-05-17T00:00:00Z