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Mordred: a molecular descriptor calculator [PDF]

open access: yesJournal of Cheminformatics, 2018
Molecular descriptors are widely employed to present molecular characteristics in cheminformatics. Various molecular-descriptor-calculation software programs have been developed.
Hirotomo Moriwaki   +3 more
doaj   +7 more sources

Utilizing Molecular Descriptor Importance to Enhance Endpoint Predictions [PDF]

open access: yesToxics
Quantitative structure–activity relationship (QSAR) models are essential for predicting endpoints that are otherwise challenging to estimate using other in silico approaches.
Benjamin Bajželj   +2 more
doaj   +4 more sources

Spherical harmonics coefficients for ligand-based virtual screening of cyclooxygenase inhibitors. [PDF]

open access: yesPLoS ONE, 2011
Molecular descriptors are essential for many applications in computational chemistry, such as ligand-based similarity searching. Spherical harmonics have previously been suggested as comprehensive descriptors of molecular structure and properties.
Quan Wang   +7 more
doaj   +3 more sources

Ensemble Learning, Deep Learning-Based and Molecular Descriptor-Based Quantitative Structure–Activity Relationships [PDF]

open access: yesMolecules, 2023
A deep learning-based quantitative structure–activity relationship analysis, namely the molecular image-based DeepSNAP–deep learning method, can successfully and automatically capture the spatial and temporal features in an image generated from a three ...
Yasunari Matsuzaka, Yoshihiro Uesawa
doaj   +2 more sources

Carboxylate-Ligand-Based Coordination Polymers and Metal Complexes: From Structural Diversity and Supramolecular Descriptors to Function-Oriented Design [PDF]

open access: yesMolecules
Carboxylate-ligand-based coordination polymers and metal complexes form structurally adaptable crystalline systems, spanning discrete complexes, one-dimensional chains, two-dimensional layers, three-dimensional frameworks, and MOF-like architectures ...
Xiangjun Kong, Xia Wang, Xishi Tai
doaj   +2 more sources

Comparison of Descriptor- and Fingerprint Sets in Machine Learning Models for ADME-Tox Targets

open access: yesFrontiers in Chemistry, 2022
The screening of compounds for ADME-Tox targets plays an important role in drug design. QSPR models can increase the speed of these specific tasks, although the performance of the models highly depends on several factors, such as the applied molecular ...
Álmos Orosz   +2 more
doaj   +1 more source

Large-Scale Evaluation of Collision Cross Sections to Investigate Blood-Brain Barrier Permeation of Drugs

open access: yesPharmaceutics, 2021
Successful drug administration to the central nervous system requires accurate adjustment of the drugs’ molecular properties. Therefore, structure-derived descriptors of potential brain therapeutic agents are essential for an early evaluation of ...
Armin Sebastian Guntner   +3 more
doaj   +1 more source

Prediction of Blood-Brain Barrier Penetration (BBBP) Based on Molecular Descriptors of the Free-Form and In-Blood-Form Datasets

open access: yesMolecules, 2021
The blood-brain barrier (BBB) controls the entry of chemicals from the blood to the brain. Since brain drugs need to penetrate the BBB, rapid and reliable prediction of BBB penetration (BBBP) is helpful for drug development.
Hiroshi Sakiyama   +2 more
doaj   +1 more source

Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists [PDF]

open access: yesArchives of Biological Sciences, 2016
In the present study, we investigated the relationships between several molecular properties and bioavailability data for seven of the most commonly prescribed angiotensin II receptor antagonists (also known as angiotensin II receptor blockers ...
Trbojević Jovana B.   +4 more
doaj   +1 more source

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