ChemoPy: freely available python package for computational biology and chemoinformatics

DS Cao, QS Xu, QN Hu, YZ Liang - Bioinformatics, 2013 - academic.oup.com
Motivation: Molecular representation for small molecules has been routinely used in
QSAR/SAR, virtual screening, database search, ranking, drug ADME/T prediction and other …

Characterization of structure–antioxidant activity relationship of peptides in free radical systems using QSAR models: Key sequence positions and their amino acid …

YW Li, B Li - Journal of Theoretical Biology, 2013 - Elsevier
Antioxidative peptides have attracted increasing attention from researchers because of their
antioxidant properties as natural materials in functional food and for applications in …

Role of dopamine signaling in drug addiction

W Chen, Z Nong, Y Li, J Huang… - Current topics in …, 2017 - ingentaconnect.com
Addiction is a chronic, relapsing disease of the brain that includes drug-induced compulsive
seeking behavior and consumption of drugs. Dopamine (DA) is considered to be critical in …

Biologically active 4-thiazolidinones: a review of QSAR studies and QSAR modeling of antitumor activity

O Devinyak, B Zimenkovsky… - Current Topics in …, 2012 - ingentaconnect.com
4-Thiazolidinone is a promising scaffold for the search of new potential antibacterial,
antiviral, antidiabetic and anticancer agents etc. SAR analysis of the most potent compounds …

[HTML][HTML] Design novel dual agonists for treating type-2 diabetes by targeting peroxisome proliferator-activated receptors with core hopping approach

Y Ma, SQ Wang, WR Xu, RL Wang, KC Chou - PLoS One, 2012 - journals.plos.org
Owing to their unique functions in regulating glucose, lipid and cholesterol metabolism,
PPARs (peroxisome proliferator-activated receptors) have drawn special attention for …

[HTML][HTML] Predicting biological functions of compounds based on chemical-chemical interactions

LL Hu, C Chen, T Huang, YD Cai, KC Chou - PloS one, 2011 - journals.plos.org
Given a compound, how can we effectively predict its biological function? It is a
fundamentally important problem because the information thus obtained may benefit the …

Alignment-free prediction of a drug− target complex network based on parameters of drug connectivity and protein sequence of receptors

D Vina, E Uriarte, F Orallo… - Molecular …, 2009 - ACS Publications
There are many drugs described with very different affinity to a large number of receptors. In
this work, we selected drug− receptor pairs (DRPs) of affinity/nonaffinity drugs to …

Molecular dynamics studies on the interactions of PTP1B with inhibitors: from the first phosphate-binding site to the second one

JF Wang, K Gong, DQ Wei, YX Li… - … Engineering, Design & …, 2009 - academic.oup.com
Protein tyrosine phosphatases 1B (PTP1B) is a major negative regulator of both insulin and
leptin signaling pathways. In view of this, it becomes an important target for drug …

[HTML][HTML] Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression

Q Su, W Lu, D Du, F Chen, B Niu, KC Chou - Oncotarget, 2017 - ncbi.nlm.nih.gov
Toxicity evaluation is an extremely important process during drug development. It is usually
initiated by experiments on animals, which is time-consuming and costly. To speed up such …

MIND-BEST: Web Server for Drugs and Target Discovery; Design, Synthesis, and Assay of MAO-B Inhibitors and Theoretical− Experimental Study of G3PDH Protein …

H González-Díaz, F Prado-Prado… - Journal of proteome …, 2011 - ACS Publications
Many drugs with very different affinity to a large number of receptors are described. Thus, in
this work, we selected drug− target pairs (DTPs/nDTPs) of drugs with high affinity/nonaffinity …