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Contribution of 2D and 3D Structural Features of Drug Molecules in the Prediction of Drug Profile Matching
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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/cmdc.200700026openalex-snapshot
Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure
inferredcites →https://doi.org/10.1002/jcc.20634openalex-snapshot
A semiempirical free energy force field with charge‐based desolvation
inferredcites →https://doi.org/10.1016/1074-5521(95)90283-xopenalex-snapshot
Predicting ligand binding to proteins by affinity fingerprinting
inferredcites →https://doi.org/10.1016/j.drudis.2006.10.005openalex-snapshot
Similarity-based virtual screening using 2D fingerprints
inferredcites →https://doi.org/10.1016/j.drudis.2007.01.011openalex-snapshot
Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches
inferredcites →https://doi.org/10.1016/j.jprot.2011.05.011openalex-snapshot
From in silico target prediction to multi-target drug design: Current databases, methods and applications
inferredcites →https://doi.org/10.1016/s0378-4347(98)00045-0openalex-snapshot
Protein affinity map of chemical space
inferredcites →https://doi.org/10.1021/ci000311topenalex-snapshot
Fingerprint Scaling Increases the Probability of Identifying Molecules with Similar Activity in Virtual Screening Calculations
inferredcites →https://doi.org/10.1021/ci025569topenalex-snapshot
Similarity Metrics for Ligands Reflecting the Similarity of the Target Proteins
inferredcites →https://doi.org/10.1021/ci034052uopenalex-snapshot
A Comprehensive Docking Study on the Selectivity of Binding of Aromatic Compounds to Proteins
inferredcites →https://doi.org/10.1021/ci100263popenalex-snapshot
Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Data set Reveals Limitations of Current 3D Methods
inferredcites →https://doi.org/10.1021/ci2002022openalex-snapshot
Drug Effect Prediction by Polypharmacology-Based Interaction Profiling
inferredcites →https://doi.org/10.1021/ci600197yopenalex-snapshot
“Bayes Affinity Fingerprints” Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?
inferredcites →https://doi.org/10.1021/ci600334uopenalex-snapshot
An Efficient in Silico Screening Method Based on the Protein−Compound Affinity Matrix and Its Application to the Design of a Focused Library for Cytochrome P450 (CYP) Ligands
inferredcites →https://doi.org/10.1021/ci600426eopenalex-snapshot
Evaluating Virtual Screening Methods: Good and Bad Metrics for the “Early Recognition” Problem
inferredcites →https://doi.org/10.1021/ci960373copenalex-snapshot
The Information Content of 2D and 3D Structural Descriptors Relevant to Ligand-Receptor Binding
inferredcites →https://doi.org/10.1021/ci990439eopenalex-snapshot
Flexsim-X: A Method for the Detection of Molecules with Similar Biological Activity
inferredcites →https://doi.org/10.1021/jm049092jopenalex-snapshot
Virtual Screening Workflow Development Guided by the “Receiver Operating Characteristic” Curve Approach. Application to High-Throughput Docking on Metabotropic Glutamate Receptor Subtype 4
inferredcites →https://doi.org/10.1021/jm050480aopenalex-snapshot
Classification of Chemical Compounds by Protein−Compound Docking for Use in Designing a Focused Library
inferredcites →https://doi.org/10.1021/jm060902wopenalex-snapshot
Bridging Chemical and Biological Space: “Target Fishing” Using 2D and 3D Molecular Descriptors
inferredcites →https://doi.org/10.1021/jm101020zopenalex-snapshot
Quo Vadis, Virtual Screening? A Comprehensive Survey of Prospective Applications
inferredcites →https://doi.org/10.1021/jm950800yopenalex-snapshot
Molecular Similarity Based on DOCK-Generated Fingerprints
inferredcites →https://doi.org/10.1023/a:1008793325522openalex-snapshot
In vitro and in silico affinity fingerprints: Finding similarities beyond structural classes
inferredcites →https://doi.org/10.1023/a:1016357811882openalex-snapshot
Further development and validation of empirical scoring functions for structure-based binding affinity prediction
inferredcites →https://doi.org/10.1111/j.1747-0285.2008.00717.xopenalex-snapshot
Comparative QSAR Studies of CYP1A2 Inhibitor Flavonoids Using 2D and 3D Descriptors
inferredcites →https://doi.org/10.1186/1472-6807-10-32openalex-snapshot
Relating the shape of protein binding sites to binding affinity profiles: is there an association?
inferredcites →https://doi.org/10.1186/1752-153x-2-18openalex-snapshot
DOVIS 2.0: an efficient and easy to use parallel virtual screening tool based on AutoDock 4.0
inferredcites →https://doi.org/10.1371/journal.pone.0011955openalex-snapshot
Virtual Screening for HIV Protease Inhibitors: A Comparison of AutoDock 4 and Vina
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527818242.ch10openalex-snapshot
Computational Approaches for Target Inference
inferred← citeshttps://doi.org/10.1002/ddr.21209openalex-snapshot
Progress in the Analysis of Multiple Activity Profile of Screening Data Using Computational Approaches
inferred← citeshttps://doi.org/10.1002/minf.201400051openalex-snapshot
Compound Structure‐Independent Activity Prediction in High‐Dimensional Target Space
inferred← citeshttps://doi.org/10.1002/minf.201600013openalex-snapshot
Quantitative Structure‐activity Relationship (QSAR) Models for Docking Score Correction
inferred← citeshttps://doi.org/10.1002/minf.201700120openalex-snapshot
Prediction of Protein−compound Binding Energies from Known Activity Data: Docking‐score‐based Method and its Applications
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.2c01787openalex-snapshot
Matched Molecular Pair Analysis in Drug Discovery: Methods and Recent Applications
inferred← citeshttps://doi.org/10.1021/ci3004489openalex-snapshot
Virtual Affinity Fingerprints for Target Fishing: A New Application of Drug Profile Matching
inferred← citeshttps://doi.org/10.1021/jm400813yopenalex-snapshot
Experimental Confirmation of New Drug–Target Interactions Predicted by Drug Profile Matching
inferred← citeshttps://doi.org/10.1039/c3cp44697bopenalex-snapshot
A rapid identification of hit molecules for target proteins via physico-chemical descriptors
inferred← citeshttps://doi.org/10.1039/c5ra20775dopenalex-snapshot
A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks
inferred← citeshttps://doi.org/10.1080/02678292.2016.1155769openalex-snapshot
Prediction of clearing temperatures of bent-core liquid crystals using decision trees and multivariate adaptive regression splines
inferred← citeshttps://doi.org/10.1111/cbdd.12294openalex-snapshot
Modeling of Compound Profiling Experiments Using Support Vector Machines
inferred← citeshttps://doi.org/10.1186/s13321-020-00427-6openalex-snapshot
SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides
inferred← citeshttps://doi.org/10.1186/s13321-020-00444-5openalex-snapshot
QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
inferred← citeshttps://doi.org/10.2147/dddt.s47173openalex-snapshot
Identification of PPARγ ligands with One-dimensional Drug Profile Matching
inferred← citeshttps://doi.org/10.6084/m9.figshare.12114765openalex-snapshot
Additional file 2 of SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides
inferred← citeshttps://doi.org/10.6084/m9.figshare.12617895openalex-snapshot
Additional file 1 of QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
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