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Simultaneous Virtual Prediction of Anti- Escherichia coli Activities and ADMET Profiles: A Chemoinformatic Complementary Approach for High-Throughput Screening

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/047178947xopenalex-snapshot
Applied MANOVA and Discriminant Analysis
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Chemoinformatics in Drug Discovery
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Fragment‐based Approaches in Drug Discovery
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Handbook of Chemoinformatics
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Unified QSAR and network‐based computational chemistry approach to antimicrobials, part 1: Multispecies activity models for antifungals
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Bacterial Infections of Humans
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Optimizing the “Drug-Like” Properties of Leads in Drug Discovery
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Tomocomd-Cardd, a novel approach for computer-aided ? rational? drug design: I. Theoretical and experimental assessment of a promising method for computational screening and in silico design of new anthelmintic compounds
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3D-chiral Atom, Atom-type, and Total Non-stochastic and Stochastic Molecular Linear Indices and their Applications to Central Chirality Codification
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First computational chemistry multi-target model for anti-Alzheimer, anti-parasitic, anti-fungi, and anti-bacterial activity of GSK-3 inhibitors in vitro, in vivo, and in different cellular lines
inferredcites →https://doi.org/10.1016/b0-08-045044-x/00114-0openalex-snapshot
Fragment-Based Approaches
inferredcites →https://doi.org/10.1016/j.bmc.2005.11.024openalex-snapshot
Atom-based 3D-chiral quadratic indices. Part 2: Prediction of the corticosteroid-binding globulinbinding affinity of the 31 benchmark steroids data set
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TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: Evaluation of different classification model combinations using bond-based linear indices
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Rational drug design for anti-cancer chemotherapy: Multi-target QSAR models for the in silico discovery of anti-colorectal cancer agents
inferredcites →https://doi.org/10.1016/j.bmc.2012.07.020openalex-snapshot
ANN multiplexing model of drugs effect on macrophages; theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen
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TOPS-MODE model of multiplexing neuroprotective effects of drugs and experimental-theoretic study of new 1,3-rasagiline derivatives potentially useful in neurodegenerative diseases
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Using entropy of drug and protein graphs to predict FDA drug-target network: Theoretic-experimental study of MAO inhibitors and hemoglobin peptides from Fasciola hepatica
inferredcites →https://doi.org/10.1016/j.ejmech.2011.02.072openalex-snapshot
Using the TOPS-MODE approach to fit multi-target QSAR models for tyrosine kinases inhibitors
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Synthesis, characterization, biological evaluation and QSAR studies of 11-p-substituted phenyl-12-phenyl-11a,12-dihydro-11H-indeno[2,1-c][1,5]benzothiazepines as potential antimicrobial agents
inferredcites →https://doi.org/10.1016/j.ejps.2011.10.022openalex-snapshot
Efficacy, nephrotoxicity and ototoxicity of aminoglycosides, mathematically modelled for modelling-supported therapeutic drug monitoring
inferredcites →https://doi.org/10.1016/j.ejps.2012.04.012openalex-snapshot
Chemoinformatics in anti-cancer chemotherapy: Multi-target QSAR model for the in silico discovery of anti-breast cancer agents
inferredcites →https://doi.org/10.1021/ci049950kopenalex-snapshot
Linear Indices of the “Molecular Pseudograph's Atom Adjacency Matrix”: Definition, Significance-Interpretation, and Application to QSAR Analysis of Flavone Derivatives as HIV-1 Integrase Inhibitors
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Ligand-Based Virtual Screening and in Silico Design of New Antimalarial Compounds Using Nonstochastic and Stochastic Total and Atom-Type Quadratic Maps
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Simple Three-Component Method for the Synthesis of Spiroindeno[1,2-b]pyrido[2,3-d]pyrimidine-5,3′-indolines
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High-Throughput Screening of One-Bead-One-Compound Libraries: Identification of Cyclic Peptidyl Inhibitors against Calcineurin/NFAT Interaction
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Library Synthesis and Antibacterial Investigation of Cationic Anthraquinone Analogs
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Inhibition of 1-Deoxy- d -Xylulose-5-Phosphate Reductoisomerase by Lipophilic Phosphonates: SAR, QSAR, and Crystallographic Studies
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Role of Amphiphilicity in the Design of Synthetic Mimics of Antimicrobial Peptides with Gram-Negative Activity
inferredcites →https://doi.org/10.1021/ml3004507openalex-snapshot
Selective Inhibition of Bacterial and Human Topoisomerases by N-Arylacyl O-Sulfonated Aminoglycoside Derivatives
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Alignment-Free Prediction of a Drug−Target Complex Network Based on Parameters of Drug Connectivity and Protein Sequence of Receptors
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Hit and lead generation: beyond high-throughput screening
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How to improve R&D productivity: the pharmaceutical industry's grand challenge
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Integration of virtual and high-throughput screening
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A ligand-based approach for the in silico discovery of multi-target inhibitors for proteins associated with HIV infection
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Small-sample precision of ROC-related estimates
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
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Emergence of Metallo-β-Lactamase NDM-1-Producing Multidrug-Resistant Escherichia coli in Australia
inferredcites →https://doi.org/10.1128/aac.01374-09openalex-snapshot
In Vitro Antibacterial Activities of JNJ-Q2, a New Broad-Spectrum Fluoroquinolone
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Summary of Pharmacokinetics and Tissue Distribution of a Broad‐Spectrum Fluoroquinolone, JNJ‐Q2
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Open Babel: An open chemical toolbox
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Bacterial infections of humans: epidemiology and control
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Abelson Tyrosine-Protein Kinase 1 as Principal Target for Drug Discovery Against Leukemias. Role of the Current Computer-Aided Drug Design Methodologies
inferredcites →https://doi.org/10.2174/15680266113139990114openalex-snapshot
Entropy Model for Multiplex Drug-Target Interaction Endpoints of Drug Immunotoxicity
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Simultaneous Modeling of Antimycobacterial Activities and ADMET Profiles: A Chemoinformatic Approach to Medicinal Chemistry
inferredcites →https://doi.org/10.3390/80900687openalex-snapshot
Total and Local Quadratic Indices of the Molecular Pseudograph's Atom Adjacency Matrix: Applications to the Prediction of Physical Properties of Organic Compounds

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ange.201602965openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/anie.201602965openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/med.21764openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/med.21995openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/wcms.1472openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bjp.2018.08.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.colsurfb.2016.09.028openalex-snapshot
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