Improvements to robotics-inspired conformational sampling in rosetta
about
Native proteins trap high-energy transit conformationsConstraint methods that accelerate free-energy simulations of biomoleculesStructural model of the dimeric Parkinson's protein LRRK2 reveals a compact architecture involving distant interdomain contactsA Web Resource for Standardized Benchmark Datasets, Metrics, and Rosetta Protocols for Macromolecular Modeling and DesignAntibody structure determination using a combination of homology modeling, energy-based refinement, and loop prediction.Protein loop modeling using a new hybrid energy function and its application to modeling in inaccurate structural environments.The origin of consistent protein structure refinement from structural averaging.CASP11 refinement experiments with ROSETTA.Antibody H3 Structure Prediction."Solvent hydrogen-bond occlusion": A new model of polar desolvation for biomolecular energetics.The RosettaCon 2012 Special Collection: Code Writ on Water, Documentation Writ in Stone.An efficient algorithm to perform local concerted movements of a chain moleculeDesign of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences.EGFR Kinase Domain Duplication (EGFR-KDD) Is a Novel Oncogenic Driver in Lung Cancer That Is Clinically Responsive to AfatinibConformational stability of digestion-resistant peptides of peanut conglutins reveals the molecular basis of their allergenicity.RCD+: Fast loop modeling server.Algorithms for protein design.Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction.Structural modeling of the AhR:ARNT complex in the bHLH-PASA-PASB region elucidates the key determinants of dimerization.Blind prediction performance of RosettaAntibody 3.0: grafting, relaxation, kinematic loop modeling, and full CDR optimization.On the reliability of peptide nonplanarity seen in ultra-high resolution crystal structures.Structure-based domain assignment in Leishmania infantum EndoG: characterization of a pH-dependent regulatory switch and a C-terminal extension that largely dictates DNA substrate preferences.Structural basis for chemokine recognition by a G protein-coupled receptor and implications for receptor activation.Mechanism of Lysine 48 Selectivity during Polyubiquitin Chain Formation by the Ube2R1/2 Ubiquitin-Conjugating Enzyme.Modeling and docking of antibody structures with Rosetta.Predicting loop conformational ensembles.Designing Fcabs: well-expressed and stable high affinity antigen-binding Fc fragments.E-cadherin cleavage by MT2-MMP regulates apical junctional signaling and epithelial homeostasis in the intestine.Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods.Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint.Ligand-induced perturbation of the HIF-2α:ARNT dimer dynamics.TCRmodel: high resolution modeling of T cell receptors from sequence.QM/MM Description of Newly Selected Catalytic Bioscavengers Against Organophosphorus Compounds Revealed Reactivation Stimulus Mediated by Histidine Residue in the Acyl-Binding LoopFast design of arbitrary length loops in proteins using InteractiveRosettaDaReUS-Loop: accurate loop modeling using fragments from remote or unrelated proteins
P2860
Q27335135-A6F8E9C1-55DB-4FE7-9BC0-868B34ED630AQ28066484-B34A6914-4212-4064-9635-6A76F14F11F5Q28116245-33DD5773-6DC8-40DC-B8B5-D1800BBA8426Q28914715-7A32053D-2BE9-4541-95E1-3BAF8CD2FBC4Q30360105-F4964A8A-333A-40EB-9C0B-4AFB478E2C7CQ30368895-05F40089-5316-481E-BB72-6897DBE0776EQ30374559-E578CBB8-2C25-411B-911C-23B92D5C8481Q30377096-3864A1E5-2749-4810-942E-B64C9B69BE02Q30398990-7074F4C7-467F-4C8F-9D16-39AEBE268059Q30400111-B88656B9-BBC6-4F8F-8639-898CAF90B5C4Q35004812-387CD263-748D-4C23-9DB0-9558CD70B2D7Q35590839-6643CC51-56B3-4863-A04B-837A1D7A7C84Q35683261-803FAF67-94FF-4826-9890-DA61F6637441Q36244968-5DE80C28-9700-4246-A2F7-195703F8B616Q37063950-0E9BC1DF-8653-41CD-AAB9-B757315D6EDEQ37182138-09026459-D394-443B-8517-656DCA5426DCQ38810159-E1A4C9C4-447B-4843-87DD-051658925AA6Q38814529-B558F51D-6CB3-44EC-A21E-290770FDFEB6Q38845142-66411F3A-0C8B-4E42-B55C-B4E333EC6351Q39251813-D9E657EF-7388-443E-B550-40DAF09D968CQ40094652-AD587A0C-EDEF-4CDA-A8AD-1B533F60E7ADQ41626369-DCCFED37-5D82-4BC8-8996-0B681D408EB6Q42380472-EDA685A5-1116-48C1-953E-149D3B73076CQ42406812-D3F3E448-5C65-449D-96CC-A63B6E837925Q46622702-A4E2FAF0-627B-4D6C-8406-82B9E582114FQ47307363-6C734A34-2FBE-4E84-92C5-9E1BBA011009Q47597969-10A13047-3D1E-4186-BCC7-E6CD68A0FE8FQ47613468-B9D4294A-4524-4F29-9AC2-43C3505EC353Q47648446-EEF5600F-A335-415C-B384-9AAD81ADA44AQ48208631-A9141C0F-B610-4503-A656-8F053528D5A9Q52371594-D9D74B09-DA0B-4002-9816-3F6826E86C2CQ55518760-589A39DA-8723-49F6-B149-B6678D2F2571Q57558945-1C4C67EC-9694-4741-9DAA-3AAAB8ED307DQ58700891-1AE58088-EE07-400E-8A7B-14DA24C5CA60Q58747305-E1B1C501-6B99-4095-BC33-8A3AFEB57693
P2860
Improvements to robotics-inspired conformational sampling in rosetta
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Improvements to robotics-inspired conformational sampling in rosetta
@ast
Improvements to robotics-inspired conformational sampling in rosetta
@en
type
label
Improvements to robotics-inspired conformational sampling in rosetta
@ast
Improvements to robotics-inspired conformational sampling in rosetta
@en
prefLabel
Improvements to robotics-inspired conformational sampling in rosetta
@ast
Improvements to robotics-inspired conformational sampling in rosetta
@en
P2860
P3181
P1433
P1476
Improvements to robotics-inspired conformational sampling in rosetta
@en
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0063090
P407
P577
2013-01-01T00:00:00Z