Results 11 to 20 of about 329 (132)
Degree-Based Molecular Descriptors and QSPR Analysis of Breast Cancer Drugs
The disease that involves abnormal cell growth and spreads through the surrounding tissues damaging other parts of the body is cancer. Breast cancer is the most common one out of many types.
M. C. Shanmukha +3 more
doaj +1 more source
QSPR Analysis of Drugs for Treatment of Schizophrenia Using Topological Indices
Schizophrenia is a chronic psychotic disorder characterized primarily by cognitive deficits. Drugs and therapies are helpful in managing the symptoms, mostly with long-term compliance. There is a pressing need to design more efficient drugs with fewer adverse effects.
Xiujun Zhang +5 more
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Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions [PDF]
Nowadays, the problem of the model’s applicability domain (AD) definition is an active research topic in chemoinformatics. Although many various AD definitions for the models predicting properties of molecules (Quantitative Structure-Activity/Property Relationship (QSAR/QSPR) models) were described in the literature, no one for chemical reactions ...
Rakhimbekova, Assima +5 more
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Topological indices are molecular descriptors used in QSPR modelling to predict the physicochemical properties of molecules. Topological indices are used in numerous applications in drug design.
Muhammad Shafii Abubakar +3 more
doaj +1 more source
Quantitative Structure - Property Relationships (QSPR) analysis of the Melting Point (m.p) of 349 organic compounds using molecular descriptors based on linear regression have been done. The experiment m.p.
Iqmal Tahir +3 more
doaj +1 more source
Connectivity indices and QSPR analysis of benzenoid hydrocarbons
In mathematical chemistry, a large number of topological indices are used to predict the physicochemical properties of compounds, especially in the study of quantitative structure-proerty relationship (QSPR). However, many topological indices have almost the same predictive ability.
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Combining QSPR modeling and the VIKOR method to rank opioid analgesic drugs via topological indices
Opioid analgesic drugs are widely used in modern medicine for pain management, anesthesia, and palliative care, making the study of their physicochemical properties essential for drug design and optimization.
Geethu Kuriachan, Parthiban A.
doaj +1 more source
Topological descriptors and QSPR analysis are statistical techniques that are highly beneficial for analyzing various physical and chemical characteristics of molecular graphs without necessitating expensive and time-consuming laboratory experiments. The
Sumiya Nasir
doaj +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
QSPR analysis of some agonists and antagonists of α-adrenergic receptors [PDF]
Thirty-three compounds belonging to the sympatholytics and sympathomimetics were analyzed during the study. The biological activity data for the parameters of binding affinity to the α1- and α2-adrenergic receptors together with parameters of the logarithm of the partition coefficient n-octanol/water (log P) were performed using a semi-empirical ...
Kawczak, Piotr +2 more
openaire +2 more sources

