DFT Study, Linear and Nonlinear Multiple Regression in the Prediction of HDAC7 Inhibitory Activities on a Series of Hydroxamic Acids

Computational Molecular Bioscience
doi 10.4236/cmb.2019.93006
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Scientific Research Publishing, Inc,

Related search

Chemometric Study of Antiretroviral Activities of HEPT Derivatives Using Multiple Linear Regression

2019English

Antiradical, Chelating and Antioxidant Activities of Hydroxamic Acids and Hydroxyureas

Molecules
Organic ChemistryMolecular MedicineAnalytical ChemistryTheoretical ChemistryPharmaceutical ScienceMedicineDrug DiscoveryChemistryPhysical
2011English

Development of Prediction Models for the Mutagenicity of Nitrated-PAHs Based on Multiple Linear Regression

DEStech Transactions on Materials Science and Engineering
2018English

Theoretical and Case Study on Multiple Equal Part Linear Regression

DEStech Transactions on Computer Science and Engineering
2017English

A Best Model on Multiple Linear Regression

International Journal of Engineering and Technology
Transfer ProcessesFluid FlowMechanical EngineeringAerospace Engineering
2020English

DFT Study of the Silyl Esters of Thiophosphorus Acids

Silicon
OpticalElectronicMagnetic Materials
2010English

Antimicrobial Activity of Hydroxamic Acids

Chemical and Pharmaceutical Bulletin
MedicineDrug DiscoveryChemistry
1971English

MLRP, Multiple Linear Regression Program

1986English

Ionization of Hydroxamic Acids in Aqueous Solutions

Bulletin of the Chemical Society of Japan
Chemistry
1976English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy