Message-ID: <887599619.245.1632427547175.JavaMail.bigchem@cpu> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_244_1953306531.1632427547175" ------=_Part_244_1953306531.1632427547175 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
The descriptors were developed by Dr. Artem Cherkasov. These descriptors=
are calculated based on the previous models of inductive and steric effect=
s, inductive electronegativity and molecular capacitance. These molecular p=
arameters are easily accessible from electronegativities and covalent radii=
of the constituent atoms and interatomic distances and can reflect a varie=
ty of aspects of intra- and intermolecular interactions.
=
The descriptors are based on the Linear Free Energy Relationships (LFER) e=
quations for inductive and steric substituent constants, were implemented a=
ccording to Cherkasov. These descriptors were used for modeling of differen=
t physicochemical and biological properties
Cherkasov, A. Inductive QSAR Descriptors. Distinguishing Com=
pounds with Antibacterial Activity by Artificial Neural Networks Int. J. Mol. Sci. 2005, 6
Cherkasov, A. =E2=80=99Inductive=E2=80=99 Descriptors= : 10 Successful Years in QSAR. Curr. Comp. Aid. Drug Des. 2005, 1,21=E2=88= =9242