scholarly article | Q13442814 |
P819 | ADS bibcode | 2015PLoSO..1025941Z |
P356 | DOI | 10.1371/JOURNAL.PONE.0125941 |
P8608 | Fatcat ID | release_z27hn47mkrhtflm52vdbaechhe |
P932 | PMC publication ID | 4459952 |
P698 | PubMed publication ID | 26053419 |
P5875 | ResearchGate publication ID | 279210336 |
P50 | author | Martin Zacharias | Q64125602 |
P2093 | author name string | Zhe Zhang | |
Oliver F Lange | |||
Christina E M Schindler | |||
P2860 | cites work | Equation of State Calculations by Fast Computing Machines | Q5384234 |
Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques | Q24562739 | ||
A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions | Q24610334 | ||
High-resolution structural and thermodynamic analysis of extreme stabilization of human procarboxypeptidase by computational protein design | Q24628092 | ||
Estimating the size of the human interactome | Q24655438 | ||
Well-Tempered Metadynamics: A Smoothly Converging and Tunable Free-Energy Method | Q27336076 | ||
HADDOCK: a protein-protein docking approach based on biochemical or biophysical information | Q27860814 | ||
Shape complementarity at protein/protein interfaces | Q27860963 | ||
Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations | Q28188949 | ||
Protein-protein docking predictions for the CAPRI experiment | Q28208464 | ||
From Levinthal to pathways to funnels | Q28300934 | ||
How many protein-protein interactions types exist in nature? | Q28728507 | ||
Protein structure prediction using Rosetta | Q29616386 | ||
Centenary Award and Sir Frederick Gowland Hopkins Memorial Lecture. Protein folding, structure prediction and design. | Q30360405 | ||
Minimizing and learning energy functions for side-chain prediction. | Q33360620 | ||
Benchmarking and analysis of protein docking performance in Rosetta v3.2. | Q33988409 | ||
High-resolution protein-protein docking | Q33994236 | ||
Free energy landscapes of encounter complexes in protein-protein association | Q34169869 | ||
Replica exchange improves sampling in low-resolution docking stage of RosettaDock | Q34979501 | ||
A general computational approach for repeat protein design | Q34999778 | ||
Prediction and design of macromolecular structures and interactions | Q36416639 | ||
Monte Carlo refinement of rigid-body protein docking structures with backbone displacement and side-chain optimization | Q36420277 | ||
Optimal allocation of replicas in parallel tempering simulations. | Q51557130 | ||
Replica Monte Carlo simulation of spin glasses. | Q55032678 | ||
Replica-exchange molecular dynamics method for protein folding | Q55879366 | ||
A biased Monte Carlo scheme for zeolite structure solution | Q55934048 | ||
Feedback-optimized parallel tempering Monte Carlo | Q57674540 | ||
Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science | Q58465789 | ||
Enhanced Sampling in the Well-Tempered Ensemble | Q85079127 | ||
Protein-ligand docking using hamiltonian replica exchange simulations with soft core potentials | Q87937375 | ||
Convergence and combination of methods in protein-protein docking | Q37392115 | ||
Parallel tempering: theory, applications, and new perspectives | Q37610077 | ||
Advanced replica-exchange sampling to study the flexibility and plasticity of peptides and proteins | Q38072502 | ||
An accurate binding interaction model in de novo computational protein design of interactions: if you build it, they will bind | Q38096161 | ||
Search strategies and evaluation in protein-protein docking: principles, advances and challenges | Q38193268 | ||
Protein-protein docking benchmark version 3.0. | Q41891375 | ||
Protein–protein docking benchmark version 4.0 | Q42093255 | ||
Protein-protein docking with a reduced protein model accounting for side-chain flexibility | Q42102959 | ||
Funnel hunting in a rough terrain: learning and discriminating native energy funnels. | Q45964722 | ||
Efficient Simulation of Explicitly Solvated Proteins in the Well-Tempered Ensemble | Q46626474 | ||
Hamiltonian replica exchange molecular dynamics using soft-core interactions | Q46644804 | ||
ICM-DISCO docking by global energy optimization with fully flexible side-chains | Q46664729 | ||
Docking and scoring protein interactions: CAPRI 2009 | Q47584586 | ||
Computational redesign of protein-protein interaction specificity | Q47610852 | ||
Assessment of blind predictions of protein-protein interactions: current status of docking methods | Q47613358 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 6 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | e0125941 | |
P577 | publication date | 2015-06-08 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Application of Enhanced Sampling Monte Carlo Methods for High-Resolution Protein-Protein Docking in Rosetta | |
P478 | volume | 10 |
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Q92936853 | MCMap-A Computational Tool for Mapping Energy Landscapes of Transient Protein-Protein Interactions |
Q30398315 | Monte Carlo replica-exchange based ensemble docking of protein conformations |
Q40519349 | Rational design of TNFα binding proteins based on the de novo designed protein DS119. |
Q38685898 | Using the multi-objective optimization replica exchange Monte Carlo enhanced sampling method for protein-small molecule docking |
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