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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   +5 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

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

open access: goldMolecules, 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   +2 more sources

Mining Structural Information from Gas Chromatography-Electron-Impact Ionization-Mass Spectrometry Data for Analytical-Descriptor-Based Quantitative Structure–Activity Relationship [PDF]

open access: yesJournal of Xenobiotics
Recently developed quantitative structure–activity relationship (QSAR) prediction uses machine learning techniques with analytical signals from the full scan of mass spectra as input, and does not need exhaustive structural determination to assess ...
Yasuyuki Zushi
doaj   +2 more sources

Signature molecular descriptor : advanced applications. [PDF]

open access: green, 2010
In this work we report on the development of the Signature Molecular Descriptor (or Signature) for use in the solution of inverse design problems as well as in highthroughput screening applications. The ultimate goal of using Signature is to identify novel and non-intuitive chemical structures with optimal predicted properties for a given application ...
Visco, Donald Patrick, Jr. (Tennessee Technological University, Cookeville, TN)
openalex   +4 more sources

A New Graph-Based Molecular Descriptor Using the Canonical Representation of the Molecule [PDF]

open access: yesThe Scientific World Journal, 2014
Molecular similarity is a pervasive concept in drug design. The basic idea underlying molecular similarity is the similar property principle, which states that structurally similar molecules will exhibit similar physicochemical and biological properties.
Hamza Hentabli   +3 more
doaj   +2 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   +2 more sources

On Molecular Descriptors of Carbon Nanocones [PDF]

open access: goldBiomolecules, 2018
Many degree-based topological indices can be obtained from the closed-off M-polynomial of a carbon nanocone. These topological indices are numerical parameters that are associated with a structure and, in combination, determine the properties of the carbon nanocone.
Waqas Nazeer   +4 more
openalex   +5 more sources

Collision Cross Section Prediction Based on Machine Learning

open access: yesMolecules, 2023
Ion mobility-mass spectrometry (IM-MS) is a powerful separation technique providing an additional dimension of separation to support the enhanced separation and characterization of complex components from the tissue metabolome and medicinal herbs.
Xiaohang Li   +8 more
doaj   +1 more source

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