Results 41 to 50 of about 4,005,619 (318)

The Sanskruti index of trees and unicyclic graphs

open access: yesOpen Chemistry, 2019
The Sanskruti index of a graph G is defined as S(G)=∑uv∈E(G)sG(u)sG(v)sG(u)+sG(v)−23,$$\begin{align*}S(G)=\sum_{uv\in{}E(G)}{\left(\frac{s_G(u)s_G(v)}{s_G(u)+s_G(v)-2}\right)}^3, \end{align*}$$where sG(u) is the sum of the degrees of the neighbors of a ...
Deng Fei   +6 more
doaj   +1 more source

Graph theoretical representation of atomic asymmetry and molecular chirality of benzenoids in two-dimensional space. [PDF]

open access: yesPLoS ONE, 2014
In order to explore atomic asymmetry and molecular chirality in 2D space, benzenoids composed of 3 to 11 hexagons in 2D space were enumerated in our laboratory.
Tanfeng Zhao   +3 more
doaj   +1 more source

QSAR study for carcinogenicity in a large set of organic compounds [PDF]

open access: yes, 2012
In our continuing efforts to find out acceptable Absorption, Distribution, Metabolization, Elimination and Toxicity (ADMET) properties of organic compounds, we establish linear QSAR models for the carcinogenic potential prediction of 1464 compounds taken
Castro, Eduardo Alberto   +3 more
core   +2 more sources

A constructive approach for discovering new drug leads: Using a kernel methodology for the inverse-QSAR problem

open access: yesJournal of Cheminformatics, 2009
Background The inverse-QSAR problem seeks to find a new molecular descriptor from which one can recover the structure of a molecule that possess a desired activity or property.
Wong William WL, Burkowski Forbes J
doaj   +1 more source

Calculation of Quantitative Structure-Activity Relationship Descriptors of Artemisinin Derivatives [PDF]

open access: yesMongolian Journal of Biological Sciences, 2008
Quantitative structure-activity relationships are based on the construction of predictive models using a set of known molecules and associated activity value.
Jambalsuren Bayarmaa, Vladimir Frecer
doaj   +1 more source

Many Molecular Properties from One Kernel in Chemical Space [PDF]

open access: yes, 2015
We introduce property-independent kernels for machine learning modeling of arbitrarily many molecular properties. The kernels encode molecular structures for training sets of varying size, as well as similarity measures sufficiently diffuse in chemical ...
Ramakrishnan, Raghunathan   +1 more
core   +3 more sources

BCL::EMAS — Enantioselective Molecular Asymmetry Descriptor for 3D-QSAR

open access: yesMolecules, 2012
Stereochemistry is an important determinant of a molecule’s biological activity. Stereoisomers can have different degrees of efficacy or even opposing effects when interacting with a target protein.
Mariusz Butkiewicz   +3 more
doaj   +1 more source

Machine learning prediction on intermetallic compounds with implemented virtual-center-atom structural descriptor

open access: yesScience and Technology of Advanced Materials: Methods, 2022
A virtual-center-atom (VCA) structural descriptor was proposed to construct machine learning potentials which can be applied in studying alloy materials.
Zhenwei Li, Junjie Wang
doaj   +1 more source

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

open access: yes, 2011
Background: 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 ...
Angioni, Carlo Federico   +7 more
core  

Home - About - Disclaimer - Privacy