about
All are not equal: a benchmark of different homology modeling programsCan correct protein models be identified?Pcons5: combining consensus, structural evaluation and fold recognition scores.Pcons.net: protein structure prediction meta server.Prediction of global and local model quality in CASP7 using Pcons and ProQ.Using multiple templates to improve quality of homology models in automated homology modeling.Prediction of membrane protein structures with complex topologies using limited constraintsDockQ: A Quality Measure for Protein-Protein Docking Models.Improved predictions by Pcons.net using multiple templates.InterPred: A pipeline to identify and model protein-protein interactions.Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins.Improved model quality assessment using ProQ2.Modeling anesthetic binding sites within the glycine alpha one receptor based on prokaryotic ion channel templates: the problem with TM4.The free energy barrier for arginine gating charge translation is altered by mutations in the voltage sensor domain.Microsecond simulations indicate that ethanol binds between subunits and could stabilize an open-state model of a glycine receptor.Tracking a complete voltage-sensor cycle with metal-ion bridges.Identification of correct regions in protein models using structural, alignment, and consensus information.Charge pair interactions in transmembrane helices and turn propensity of the connecting sequence promote helical hairpin insertion.Using evolutionary information for the query and target improves fold recognition.Methods for estimation of model accuracy in CASP12.Model quality assessment for membrane proteins.Improved protein model quality assessments by changing the target function.Assessment of global and local model quality in CASP8 using Pcons and ProQTertiary Windowing to Detect Positive Diversifying SelectionProfile-profile methods provide improved fold-recognition: A study of different profile-profile alignment methodsAutomatic consensus-based fold recognition using Pcons, ProQ, and PmodellerPredicting protein-peptide interaction sites using distant protein complexes as structural templatesInterLig: Improved ligand-based virtual screening using topologically-independent structural alignmentsEstimation of model accuracy in CASP13InterPep2: global peptide-protein docking using interaction surface templatesrawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments
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description
hulumtues
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researcher
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հետազոտող
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name
Björn Wallner
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Björn Wallner
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Björn Wallner
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Björn Wallner
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Björn Wallner
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type
label
Björn Wallner
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Björn Wallner
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Björn Wallner
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Björn Wallner
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Björn Wallner
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prefLabel
Björn Wallner
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Björn Wallner
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Björn Wallner
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Björn Wallner
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Björn Wallner
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P214
P906
P106
P1153
7006841101
P21
P214
P31
P496
0000-0002-3772-8279
P569
1975-01-01T00:00:00Z
P7859
viaf-66447190