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Bootstrap-Based Consensus Scoring Method for Protein–Ligand Docking
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1096-987x(19981115)19:14<1639::aid-jcc10>3.0.co;2-bopenalex-snapshot
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
inferredcites →https://doi.org/10.1002/(sici)1097-0134(19981115)33:3<367::aid-prot6>3.0.co;2-wopenalex-snapshot
Flexible docking using tabu search and an empirical estimate of binding affinity
inferredcites →https://doi.org/10.1002/jcc.20141openalex-snapshot
Evaluation of library ranking efficacy in virtual screening
inferredcites →https://doi.org/10.1002/jcc.540150503openalex-snapshot
ICM—A new method for protein modeling and design: Applications to docking and structure prediction from the distorted native conformation
inferredcites →https://doi.org/10.1002/pro.5560040503openalex-snapshot
Structural diversity in a conserved cholera toxin epitope involved in ganglioside binding
inferredcites →https://doi.org/10.1002/prot.10429openalex-snapshot
Optimizing physical energy functions for protein folding
inferredcites →https://doi.org/10.1002/prot.20088openalex-snapshot
A detailed comparison of current docking and scoring methods on systems of pharmaceutical relevance
inferredcites →https://doi.org/10.1002/prot.20149openalex-snapshot
Comparative evaluation of eight docking tools for docking and virtual screening accuracy
inferredcites →https://doi.org/10.1002/prot.20748openalex-snapshot
SimFold energy function for de novo protein structure prediction: Consensus with Rosetta
inferredcites →https://doi.org/10.1002/prot.340210302openalex-snapshot
Funnels, pathways, and the energy landscape of protein folding: A synthesis
inferredcites →https://doi.org/10.1006/jmbi.1996.0477openalex-snapshot
A Fast Flexible Docking Method using an Incremental Construction Algorithm
inferredcites →https://doi.org/10.1006/jmbi.1996.0897openalex-snapshot
Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen
inferredcites →https://doi.org/10.1016/0022-2836(82)90153-xopenalex-snapshot
A geometric approach to macromolecule-ligand interactions
inferredcites →https://doi.org/10.1016/j.chemphys.2004.06.015openalex-snapshot
Protein folding mechanisms and energy landscape of src SH3 domain studied by a structure prediction toolbox
inferredcites →https://doi.org/10.1016/s0969-2126(03)00075-3openalex-snapshot
De Novo Design of Foldable Proteins with Smooth Folding Funnel
inferredcites →https://doi.org/10.1016/s1074-5521(96)90093-9openalex-snapshot
Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites
inferredcites →https://doi.org/10.1016/s1093-3263(01)00125-5openalex-snapshot
Consensus scoring for ligand/protein interactions
inferredcites →https://doi.org/10.1021/ci034289qopenalex-snapshot
Virtual Screening Using Protein−Ligand Docking: Avoiding Artificial Enrichment
inferredcites →https://doi.org/10.1021/ci049970mopenalex-snapshot
Assessment of Docking Poses: Interactions-Based Accuracy Classification (IBAC) versus Crystal Structure Deviations
inferredcites →https://doi.org/10.1021/ci050034wopenalex-snapshot
Consensus Scoring Criteria for Improving Enrichment in Virtual Screening
inferredcites →https://doi.org/10.1021/ci050036gopenalex-snapshot
POEM: Parameter Optimization Using Ensemble Methods: Application to Target Specific Scoring Functions
inferredcites →https://doi.org/10.1021/ci6004993openalex-snapshot
Supervised Consensus Scoring for Docking and Virtual Screening
inferredcites →https://doi.org/10.1021/ja032018qopenalex-snapshot
Structural Mining: Self-Consistent Design on Flexible Protein−Peptide Docking and Transferable Binding Affinity Potential
inferredcites →https://doi.org/10.1021/jm0003992openalex-snapshot
Detailed Analysis of Scoring Functions for Virtual Screening
inferredcites →https://doi.org/10.1021/jm001044lopenalex-snapshot
Protein-Based Virtual Screening of Chemical Databases. 1. Evaluation of Different Docking/Scoring Combinations
inferredcites →https://doi.org/10.1021/jm0203783openalex-snapshot
Comparative Evaluation of 11 Scoring Functions for Molecular Docking
inferredcites →https://doi.org/10.1021/jm020406hopenalex-snapshot
Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine
inferredcites →https://doi.org/10.1021/jm0306430openalex-snapshot
Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy
inferredcites →https://doi.org/10.1021/jm030896topenalex-snapshot
Improving Structure-Based Virtual Screening by Multivariate Analysis of Scoring Data
inferredcites →https://doi.org/10.1021/jm050362nopenalex-snapshot
A Critical Assessment of Docking Programs and Scoring Functions
inferredcites →https://doi.org/10.1021/jm990352kopenalex-snapshot
Consensus Scoring: A Method for Obtaining Improved Hit Rates from Docking Databases of Three-Dimensional Structures into Proteins
inferredcites →https://doi.org/10.1021/jm990408aopenalex-snapshot
Successful Virtual Screening of a Chemical Database for Farnesyltransferase Inhibitor Leads
inferredcites →https://doi.org/10.1023/a:1007907728892openalex-snapshot
QXP: Powerful, rapid computer algorithms for structure-based drug design
inferredcites →https://doi.org/10.1023/a:1007999920146openalex-snapshot
Prediction of binding constants of protein ligands: A fast method for the prioritization of hits obtained from de novo design or 3D database search programs
inferredcites →https://doi.org/10.1023/a:1008005918983openalex-snapshot
MCDOCK: A Monte Carlo simulation approach to the molecular docking problem
inferredcites →https://doi.org/10.1023/a:1011115820450openalex-snapshot
DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
inferredcites →https://doi.org/10.1023/a:1023866311551openalex-snapshot
Distilling the essential features of a protein surface for improving protein-ligand docking, scoring, and virtual screening
inferredcites →https://doi.org/10.1063/1.1472510openalex-snapshot
On the Hamiltonian replica exchange method for efficient sampling of biomolecular systems: Application to protein structure prediction
inferredcites →https://doi.org/10.1073/pnas.0508195103openalex-snapshot
Shaping up the protein folding funnel by local interaction: Lesson from a structure prediction study
inferredcites →https://doi.org/10.1073/pnas.181147798openalex-snapshot
Protein docking along smooth association pathways
inferredcites →https://doi.org/10.1073/pnas.95.6.2932openalex-snapshot
Self-consistently optimized energy functions for protein structure prediction by molecular dynamics
inferredcites →https://doi.org/10.1093/protein/12.8.639openalex-snapshot
Automated docking of peptides and proteins by using a genetic algorithm combined with a tabu search
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527633326.ch7openalex-snapshot
The Challenge of Affinity Prediction: Scoring Functions for Structure‐Based Virtual Screening
inferred← citeshttps://doi.org/10.1002/9783527645947.ch15openalex-snapshot
Prospects of Modulating Protein–Protein Interactions
inferred← citeshttps://doi.org/10.1002/chin.200833214openalex-snapshot
ChemInform Abstract: Bootstrap‐Based Consensus Scoring Method for Protein—Ligand Docking.
inferred← citeshttps://doi.org/10.1002/jcc.21642openalex-snapshot
VoteDock: Consensus docking method for prediction of protein–ligand interactions
inferred← citeshttps://doi.org/10.1007/978-3-642-39056-2_6openalex-snapshot
Multi-Agent, Multi-Case-Based Reasoning
inferred← citeshttps://doi.org/10.1007/s10822-009-9276-1openalex-snapshot
Robust optimization of scoring functions for a target class
inferred← citeshttps://doi.org/10.1007/s10822-011-9539-5openalex-snapshot
Are predefined decoy sets of ligand poses able to quantify scoring function accuracy?
inferred← citeshttps://doi.org/10.1021/ci2002268openalex-snapshot
PLS-DA - Docking Optimized Combined Energetic Terms (PLSDA-DOCET) Protocol: A Brief Evaluation
inferred← citeshttps://doi.org/10.1109/bibm.2013.6732464openalex-snapshot
A case-based meta-learning algorithm boosts the performance of structure-based virtual screening
inferred← citeshttps://doi.org/10.1124/pr.112.007336openalex-snapshot
Computational Methods in Drug Discovery
inferred← citeshttps://doi.org/10.1371/journal.pone.0023215openalex-snapshot
Prediction of Ligand Binding Using an Approach Designed to Accommodate Diversity in Protein-Ligand Interactions
inferred← citeshttps://doi.org/10.1609/aaai.v27i2.18996openalex-snapshot
Case-Based Meta-Prediction for Bioinformatics
inferred← citeshttps://doi.org/10.2174/1570159x15666170109143757openalex-snapshot
Fusing Docking Scoring Functions Improves the Virtual Screening Performance for Discovering Parkinson's Disease Dual Target Ligands
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