about
Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo methodA Web Resource for Standardized Benchmark Datasets, Metrics, and Rosetta Protocols for Macromolecular Modeling and DesignImprovements to robotics-inspired conformational sampling in rosettaLEAP: highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chainsAntibody structure determination using a combination of homology modeling, energy-based refinement, and loop prediction.Automated Aufbau of antibody structures from given sequences using Macromoltek's SmrtMolAntibody.The VSGB 2.0 model: a next generation energy model for high resolution protein structure modeling.Prediction of Long Loops with Embedded Secondary Structure using the Protein Local Optimization Program.DFGmodel: predicting protein kinase structures in inactive states for structure-based discovery of type-II inhibitorsFast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method.Structure prediction of loops with fixed and flexible stemsConformational sampling in template-free protein loop structure modeling: an overview.Blind prediction performance of RosettaAntibody 3.0: grafting, relaxation, kinematic loop modeling, and full CDR optimization.Fragment-based modeling of membrane protein loops: successes, failures, and prospects for the future.A fragment based method for modeling of protein segments into cryo-EM density maps.Distance-Guided Forward and Backward Chain-Growth Monte Carlo Method for Conformational Sampling and Structural Prediction of Antibody CDR-H3 Loops.Loop prediction for a GPCR homology model: algorithms and results.Advances in Human Biology: Combining Genetics and Molecular Biophysics to Pave the Way for Personalized Diagnostics and Medicine
P2860
Q28547096-63F7124F-345F-49A0-9653-BDFF888ACD6EQ28914715-B41A9970-D1F1-47F6-8F76-1FC1EB14967AQ28914730-1E164416-CA69-4168-A6E4-791427973667Q30356679-EC1619DD-E1D2-4E10-B8BF-18C4B03323B0Q30360105-9C4C19FF-BD7A-4725-8516-F00076606D10Q30361881-F360A487-D6D8-4EF7-9A07-7874194B86E3Q30406909-368A1357-935C-427A-AFB5-45932435D9DBQ34787636-26559D4E-9AE2-449F-9ED1-DF68B5396B3CQ34992475-6CACF95D-B58F-47A7-BDFD-0D50183E44FFQ35156988-6E3F3238-EC6B-4457-A1FC-99B33E0B7B72Q36035334-059D2D7F-75AC-4E9F-997E-4688A507A99BQ38201039-3D80EA47-2FB0-4CF8-AE50-17CE5946A35AQ39251813-F5890C47-E1C4-4CBF-B0C0-68A256F9E64CQ39434682-DC3DCD84-0F2A-4207-BAB6-56993DF1629DQ44953484-04CC4D64-EB36-4B29-9412-D2025FC03604Q48051459-061D8BD8-0487-4AA2-AF1C-19522F9E5A45Q49084735-DA819362-16D4-4290-9E47-42DAE1B3E78BQ59042601-A7D2B8BB-EE4B-4902-B569-FDB23C797AE3
P2860
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh
2011年學術文章
@zh-hant
name
Progress in super long loop prediction.
@en
type
label
Progress in super long loop prediction.
@en
prefLabel
Progress in super long loop prediction.
@en
P2093
P2860
P356
P1433
P1476
Progress in super long loop prediction
@en
P2093
Jianing Li
Richard A Friesner
P2860
P304
P356
10.1002/PROT.23129
P407
P50
P577
2011-08-23T00:00:00Z