about
Water dynamics clue to key residues in protein folding.Online interactive analysis of protein structure ensembles with Bio3D-web.Drug export and allosteric coupling in a multidrug transporter revealed by molecular simulations.Integrating protein structural dynamics and evolutionary analysis with Bio3D.Mapping the Processivity Determinants of the Kinesin-3 Motor Domain.Dynamic Coupling and Allosteric Networks in the α Subunit of Heterotrimeric G Proteins.Structural and Molecular Mechanisms of Cytokine-Mediated Endocrine Resistance in Human Breast Cancer Cells.Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web.Rapid Characterization of Allosteric Networks with Ensemble Normal Mode AnalysisDomain-opening and dynamic coupling in the α-subunit of heterotrimeric G proteins.Drug uptake pathways of multidrug transporter AcrB studied by molecular simulations and site-directed mutagenesis experiments.Navigating the conformational landscape of G protein-coupled receptor kinases during allosteric activation.Water-protein interplay reveals the specificity of alpha-lytic protease.Key residue-dominated protein folding dynamics.Structural Determinants Influencing the Potency and Selectivity of Indazole-Paroxetine Hybrid G Protein-Coupled Receptor Kinase 2 Inhibitors.CafeMol: A Coarse-Grained Biomolecular Simulator for Simulating Proteins at Work.Elucidating Allosteric Communications in Proteins with Difference Contact Network AnalysisDecoding Allosteric Communication Pathways in Cyclophilin A with a Comparative Analysis of Perturbed Conformational EnsemblesSubstrate Sequence Determines Catalytic Activities, Domain-Binding Preferences, and Allosteric Mechanisms in Pin1Comparative structural dynamic analysis of GTPasesSynergistic mutations in soluble guanylyl cyclase (sGC) reveal a key role for interfacial regions in the sGC activation mechanismEstablishing a Framework of Using Residue-Residue Interactions in Protein Difference Network AnalysisDetecting Functional Dynamics in Proteins with Comparative Perturbed-Ensembles Analysis
P50
Q30384216-8671E6A4-445B-4BAD-AFE8-573CC84C03D9Q30390617-2E8239D7-6A0C-4E63-8AAD-BA0606DE105DQ30499194-05FC1F1E-C9DA-4B72-8C6C-9913E9825127Q30612041-763355E3-DECC-4750-94BC-1BE6699A6E61Q36218576-647B4AF6-85D9-49DB-A5F0-20187FD3716AQ36744582-DD7805CC-5D82-4812-A7AF-C8116470A77DQ38432603-074646AA-D60B-4763-A528-4314CAF40C58Q38660605-8AC01447-7C66-4D3D-8602-4A7835FDE6F2Q41361764-329BABDF-06F7-4DD0-8BBA-F6A9839F135EQ41790618-1F973A9A-0D54-4075-A857-C505FBAF4984Q45111143-B0FA7602-3DAA-4EF9-A8A4-B682AAC49CA2Q45938535-CB73000C-D66E-4248-BE42-5DB29AEBBE59Q46007250-7CDF5D21-2418-4E20-A47D-3F97087846A1Q46543567-D6E6AC80-F5BE-42A9-BD1F-76E659C946FEQ47603118-9746096F-3825-49E3-8FC7-02CBFEFD1290Q51607518-113AE359-5677-45B5-A3B8-3D92BE93CDE3Q57983729-A7892D0C-384A-4FAC-874D-263AA09AA46AQ57983731-414539F5-4726-4C9A-A6F4-585EBE569572Q57983734-73B7B1A5-2D7A-402B-8D7E-D3DECD5F021CQ58569784-9B9B7088-28A5-4AB5-A74A-CD1E498E70EDQ90910352-8F8E1445-FCBE-454C-A16D-9CDCD3269D1DQ91576138-9E43DBF8-EEB4-4A38-B2A0-48E5FEC4134CQ91627990-CF96A5AA-5832-49C2-B0F9-835A1E5BCF6F
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Xin-Qiu Yao
@ast
Xin-Qiu Yao
@en
Xin-Qiu Yao
@es
Xin-Qiu Yao
@sl
type
label
Xin-Qiu Yao
@ast
Xin-Qiu Yao
@en
Xin-Qiu Yao
@es
Xin-Qiu Yao
@sl
altLabel
Xinqiu Yao
@en
prefLabel
Xin-Qiu Yao
@ast
Xin-Qiu Yao
@en
Xin-Qiu Yao
@es
Xin-Qiu Yao
@sl
P108
P106
P1153
23973741100
P31
P3835
xin-qiu-yao
P496
0000-0003-2706-2028