Quantitative structure-activity relationship study of antitubercular fluoroquinolones [PDF]
Quantitative structure-activity relationship study on three diverse sets of structurally similar fluoroquinolones was performed using a comprehensive set of molecular descriptors.
Nikola Minovski (390712) +2 more
core +3 more sources
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
core +2 more sources
Design and Synthesis of Pleuromutilin Derivatives as Antibacterial Agents Using Quantitative Structure-Activity Relationship Model. [PDF]
Zhang J +5 more
europepmc +3 more sources
3D-QSAR-based pharmacophore determination and design of novel DPP-4 inhibitors [PDF]
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
doaj +1 more source
QSAR studies for the acute toxicity of nitrobenzenes to the Tetrahymena pyriformis [PDF]
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
doaj +1 more source
Quantitative Structure-Activity Relationship
Yoshiaki Nakagawa
openalex +3 more sources
Design of cinnamaldehyde amino acid Schiff base compounds based on the quantitative structure–activity relationship [PDF]
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
doaj +1 more source
Nonlinear Prediction of Quantitative Structure−Activity Relationships [PDF]
Predicting the log of the partition coefficient P is a long-standing benchmark problem in Quantitative Structure-Activity Relationships (QSAR). In this paper we show that a relatively simple molecular representation (using 14 variables) can be combined with leading edge machine learning algorithms to predict logP on new compounds more accurately than ...
Peter Tiño +4 more
openaire +3 more sources
Background Prostate cancer is the most common non-cutaneous cancer in males and accounts for about 4% of all cancer-related deaths in males annually.
Fabian A. Ikwu +2 more
doaj +1 more source
Correlation between the lipophilicity and antifungal activity of some benzoxazole derivatives [PDF]
In the present work, a quantitative relationship between the lipophilicity and antifungal activity of some benzoxazole derivatives against Candida albicans was investigated by using QSAR (quantitative structure-activity relationship) analyses.
Podunavac-Kuzmanović Sanja O. +1 more
doaj +1 more source

