Predicting Antimicrobial Peptide Activity: A Machine Learning-Based Quantitative Structure–Activity Relationship Approach [PDF]
PharmaceuticsBackground: Peptides are a class of molecules that can be presented as good antimicrobials and with mechanisms that avoid resistance, and the design of peptides with good activity can be complex and laborious.
Eliezer I. Bonifacio-Velez de Villa +3 more
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AdapTor: Adaptive Topological Regression for quantitative structure–activity relationship modeling [PDF]
Journal of CheminformaticsQuantitative structure–activity relationship (QSAR) modeling has become a critical tool in drug design. Recently proposed Topological Regression (TR), a computationally efficient and highly interpretable QSAR model that maps distances in the chemical ...
Yixiang Mao, Souparno Ghosh, Ranadip Pal
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Drug Design, Development and Therapy, 2018 Isnatin Miladiyah,1,2 Jumina Jumina,3 Sofia Mubarika Haryana,4 Mustofa Mustofa5 1Pharmacology Department, Faculty of Medicine, Islamic University of Indonesia, 2Doctorate Program of Medical Science and Health, Faculty of Medicine, 3Chemistry Department,
Miladiyah I +3 more
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Platinum(IV) compounds as potential drugs: a quantitative structure-activity relationship study [PDF]
BioImpacts, 2023 Introduction: Machine learning methods, coupled with a tremendous increase in computer power in recent years, are promising tools in modern drug design and drug repurposing.
Jurica Novak +4 more
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Quantitative Structure Activity Relationship (QSAR) study predicts small molecule binding to RNA structure [PDF]
, 2021 The diversity of RNA structural elements and their documented role in human diseases make RNA an attractive therapeutic target. However, progress in drug discovery and development has been hindered by challenges in the determination of high-resolution ...
Martina, Zafferani +3 more
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Quantitative Structure–Activity Relationship
Quantitative Structure–Activity Relationship (QSAR), or Hubungan Kuantitatif Struktur dan Aktivitas (HKSA), is a computational approach in medicinal chemistry used to understand the relationship between the chemical structure of compounds and their ...
Vioni Yulianti
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3D-QSAR-based pharmacophore determination and design of novel DPP-4 inhibitors [PDF]
Scripta Medica, 2022 Background/Aim: Therapy of diabetes mellitus type 2 includes drugs that act as inhibitors of dipeptidyl peptidase 4 (DPP-4) enzyme. Several DPP-4 inhibitors are marketed today and although they have favourable safety profile and tolerability, they show ...
Rogić Sanja, Gagić Žarko
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Quantitative structureâactivity relationship (QSAR) analysis of aromatic effector specificity in NtrC-like transcriptional activators from aromatic oxidizing bacteria [PDF]
FEMS Microbiology Letters, 2003 A quantitative structure-activity relationship (QSAR) approach was taken to provide mechanistic insights into the interaction between the chemical structure of inducing compounds and the transcriptional activation of aromatic monooxygenase operons among the XylR/DmpR subclass of bacterial NtrC-like transcriptional regulators. Compared to XylR and DmpR,
Park, Joonhong +3 more
openaire +3 more sources
QSAR studies for the acute toxicity of nitrobenzenes to the Tetrahymena pyriformis [PDF]
Journal of the Serbian Chemical Society, 2014 Quantitative structure-activity relationship (QSAR) models play a key role in finding the relationship between molecular structures and the toxicity of nitrobenzenes to Tetrahymena pyriformis.
Wang Dan-Dan +3 more
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Design of cinnamaldehyde amino acid Schiff base compounds based on the quantitative structure–activity relationship [PDF]
Royal Society Open Science, 2017 Cinnamaldehyde amino acid Schiff base (CAAS) is a new class of safe, bioactive compounds which could be developed as potential antifungal agents for fungal infections.
Hui Wang +6 more
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