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Cloud 3D-QSAR: a web tool for the development of quantitative structure-activity relationship models in drug discovery

Briefings Bioinform., 2020
Effective drug discovery contributes to the treatment of numerous diseases but is limited by high costs and long cycles. The Quantitative Structure-Activity Relationship (QSAR) method was introduced to evaluate the activity of a large number of compounds
Yu-Liang Wang   +6 more
semanticscholar   +1 more source

Quantitative structure activity relationship studies of novel hydrazone derivatives as α-amylase inhibitors with index of ideality of correlation

Journal of Biomolecular Structure and Dynamics, 2020
The present manuscript describes the synthesis, α-amylase inhibition, in silico studies and in-depth quantitative structure–activity relationship (QSAR) of a library of aroyl hydrazones based on benzothiazole skeleton.
Meenakshi Duhan   +9 more
semanticscholar   +1 more source

Uniform-length molecular descriptors for quantitative structure–property relationships (QSPR) and quantitative structure–activity relationships (QSAR): classification studies and similarity searching

TrAC Trends in Analytical Chemistry, 1999
Abstract Molecular descriptors represent important tools for predicting properties of chemicals, for classifying chemical structures, and for seeking similarities among them. A class of molecular descriptors is described which views a molecule as a whole, and leads to codes of uniform length, irrespective of the size of the molecule.
openaire   +1 more source

Recent advances in quantitative structure–activity relationship models of antimalarial drugs

Expert Opinion on Drug Discovery, 2020
Introduction Due to emerging resistance to the first-line artemisinin-based antimalarials and lack of efficient vaccines and limited chemotherapeutic alternatives, there is an urgent need to develop new antimalarial compounds.
P. Ojha, Vinay Kumar, J. Roy, K. Roy
semanticscholar   +1 more source

Quantitative structure–activity relationship methods in the discovery and development of antibacterials

, 2020
With the pressing issue of antibiotic resistance, there is a constant need for new antibiotics. However, the fact that traditional methods of drug discovery are expensive and time‐consuming has discouraged the pharmaceutical industry, leaving the burden ...
Beatriz Suay-García   +5 more
semanticscholar   +1 more source

4D- quantitative structure–activity relationship modeling: making a comeback

Expert Opinion on Drug Discovery, 2019
Introduction: Predictive Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential methodology for rapidly assessing various properties of chemicals.
D. Fourches, Jeremy R. Ash
semanticscholar   +1 more source

Quantitative structure–activity relationship (QSAR) study of carcinogenicity of polycyclic aromatic hydrocarbons (PAHs) in atmospheric particulate matter by random forest (RF)

Analytical Methods, 2019
Prediction of the carcinogenicity of PAHs in atmospheric particulate matter using the quantitative structure–activity relationship (QSAR) combined with the random forest (RF) method.
Nan Li   +5 more
semanticscholar   +1 more source

Antifungal Activity of Griseofulvin Derivatives against Phytopathogenic Fungi in Vitro and in Vivo and Three-Dimensional Quantitative Structure-Activity Relationship Analysis.

Journal of Agricultural and Food Chemistry, 2019
With environmental pollution, residual hazards accumulate and severe drug resistance and many other problems appear; some highly toxic drugs have been banned, and antifungal agents are far from satisfactory. Natural products play an important role in the
Yu-Bin Bai   +5 more
semanticscholar   +1 more source

The (Re)-Evolution of Quantitative Structure-Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods

Journal of Chemical Information and Modeling, 2022
T. Soares   +5 more
semanticscholar   +1 more source

Application of quantitative structure-activity relationship to food-derived peptides: Methods, situations, challenges and prospects

Trends in Food Science & Technology, 2021
Weichen Bo   +7 more
semanticscholar   +1 more source

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