Assessing the local structural quality of transmembrane protein models using statistical potentials (QMEANBrane).
about
The SIB Swiss Institute of Bioinformatics' resources: focus on curated databasesCharacterization of the differences in the cyclopiazonic acid binding mode to mammalian and P. Falciparum Ca2+ pumps: a computational studySorting protein decoys by machine-learning-to-rankTMFoldRec: a statistical potential-based transmembrane protein fold recognition tool.Increased efficiency of Campylobacter jejuni N-oligosaccharyltransferase PglB by structure-guided engineering.Molecular Modeling of Transporters: From Low Resolution Cryo-Electron Microscopy Map to Conformational Exploration. The Example of TSPO.Conjecture Regarding Posttranslational Modifications to the Arabidopsis Type I Proton-Pumping Pyrophosphatase (AVP1).A multidrug ABC transporter with a taste for GTP.Diversity of Nicotinic Acetylcholine Receptor Positive Allosteric Modulators Revealed by Mutagenesis and a Revised Structural Model.Disease-associated missense mutations in GluN2B subunit alter NMDA receptor ligand binding and ion channel properties.On the contributing role of the transmembrane domain for subunit-specific sensitivity of integrin activation.Dopamine transporter oligomerization involves the scaffold domain, but spares the bundle domain.Role of the Fractalkine Receptor in CNS Autoimmune Inflammation: New Approach Utilizing a Mouse Model Expressing the Human CX3CR1 VariantStructural Prediction of the Dimeric Form of the Mammalian Translocator Membrane Protein TSPO: A Key Target for Brain Diagnostics
P2860
Q27968301-43E63C9A-5118-4CCA-8FD0-413DE9BA1081Q29048196-24CFEC72-5C28-44C5-9308-10505DE0A235Q30391881-2A556150-5D77-4643-886E-0DFA0C913DBDQ35677891-ABBF386E-1C24-4222-9D11-749538CF08C5Q38300058-B8C805C5-6C55-4689-B51C-86F93534A29BQ38654085-80A9E3ED-6197-4B30-AAD1-C73FBF1ED0AAQ41684642-2A233FEE-8E54-4FC8-882A-6ED6250345D8Q48041995-1E3C0D3C-C310-44AA-94D9-46799934BE7CQ49355412-CB3F89A4-D13F-4E5E-B8E4-E536C2426D23Q50418409-BD2BDC96-1DFB-4AA3-95EB-55738D7B65DBQ52325843-DD3DE459-6FF1-46A8-9888-DD1E9C1EEB87Q55361652-F9A60A32-0325-4B4B-8D99-895DEBC82879Q58606221-D24E5992-918D-41B5-AF26-0F0919B541AAQ58778891-3201E68D-BA41-478B-ADEC-017228A2B024
P2860
Assessing the local structural quality of transmembrane protein models using statistical potentials (QMEANBrane).
description
2014 nî lūn-bûn
@nan
2014年の論文
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2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
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2014年论文
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name
Assessing the local structural ...... tical potentials (QMEANBrane).
@en
Assessing the local structural ...... s using statistical potentials
@nl
type
label
Assessing the local structural ...... tical potentials (QMEANBrane).
@en
Assessing the local structural ...... s using statistical potentials
@nl
prefLabel
Assessing the local structural ...... tical potentials (QMEANBrane).
@en
Assessing the local structural ...... s using statistical potentials
@nl
P2860
P356
P1433
P1476
Assessing the local structural ...... stical potentials (QMEANBrane)
@en
P2093
Marco Biasini
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU457
P407
P577
2014-09-01T00:00:00Z