<--- Back to Details
First PageDocument Content
Medicinal chemistry / Mathematical chemistry / Theoretical chemistry / Quantitative structure–activity relationship / Pic50 / Molecular descriptor / Structure–activity relationship / Computational chemistry / Combinatorial chemistry / Chemistry / Science / Cheminformatics
Date: 2005-12-11 23:49:56
Medicinal chemistry
Mathematical chemistry
Theoretical chemistry
Quantitative structure–activity relationship
Pic50
Molecular descriptor
Structure–activity relationship
Computational chemistry
Combinatorial chemistry
Chemistry
Science
Cheminformatics

Add to Reading List

Source URL: biochempress.com

Download Document from Source Website

File Size: 115,00 KB

Share Document on Facebook

Similar Documents

Medicinal chemistry / Cheminformatics / Drug discovery / Computational chemistry / Quantitative structureactivity relationship / Clinical research / Structureactivity relationship / Chemical substance / Matched molecular pair analysis

Identifying Structure-Activity Cliffs in a Salmonella QSAR Model for Predicting the Potential Mutagenicity of Genotoxic Drug Impurities and Other Organic Molecules P46 Kevin P. Cross1, R. Daniel Benz2, Lidiya Stavitskay

DocID: 1ptdl - View Document

Structure-Activity Relationship Clusters (and the Difference between 2-D and 3-D Similarity) Volker D. Hähnke, Lianyi Han, Sunghwan Kim, Evan E. Bolton, Stephen H. Bryant National Center for Biotechnology Information Na

DocID: 1nWaq - View Document

Chemistry / Learning / Cheminformatics / Statistics / Drug discovery / Computational chemistry / Statistical classification / Mathematical chemistry / Kernel method / Graph kernel / Support vector machine / Organic chemistry

1 Kernel methods for SAR Modeling Biological Activities of Chemical Compounds: Kernel Methods for Structure Activity Relationship

DocID: 1lOjV - View Document

Toxicology / Alternatives to animal testing / Endocrine system / Chemistry / Quantitative structure–activity relationship / Science / Medicine / Endocrinology / Pharmacology / Endocrine disruptor

Mapping the Human Toxome by Systems Toxicology Using ED as Proof of Concept Thomas Hartung Doerenkamp-Zbinden Professor and Chair for Evidence-based Toxicology, EHS Director, Center for Alternatives to Animal Testing (CA

DocID: 1fRGs - View Document

Pharmacology / Cheminformatics / Drug discovery / Medicinal chemistry / Computational chemistry / Quantitative structure–activity relationship / Molecular descriptor / Drug design / Pharmaceutical sciences / Science / Chemistry

Data Mining in Bioinformatics Day 8: Graph Mining for Chemoinformatics and Drug Discovery Chloé-Agathe Azencott Machine Learning & Computational Biology Research Group MPIs Tübingen

DocID: 1fB0S - View Document