Detalhe da pesquisa
1.
Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations.
Int J Mol Sci
; 22(17)2021 Aug 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-34502280
2.
Software-Assisted Pattern Recognition of Persistent Organic Pollutants in Contaminated Human and Animal Food.
Molecules
; 26(3)2021 Jan 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-33525602
3.
Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA.
BMC Bioinformatics
; 20(Suppl 2): 97, 2019 Mar 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-30871458
4.
Similarities and differences between variants called with human reference genome HG19 or HG38.
BMC Bioinformatics
; 20(Suppl 2): 101, 2019 Mar 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-30871461
5.
Correction to: Similarities and differences between variants called with human reference genome HG19 or HG38.
BMC Bioinformatics
; 20(1): 252, 2019 May 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31092200
6.
A heuristic approach to determine an appropriate number of topics in topic modeling.
BMC Bioinformatics
; 16 Suppl 13: S8, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26424364
7.
Development and Validation of Decision Forest Model for Estrogen Receptor Binding Prediction of Chemicals Using Large Data Sets.
Chem Res Toxicol
; 28(12): 2343-51, 2015 Dec 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-26524122
8.
Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol A replacement compounds.
Chem Res Toxicol
; 28(9): 1784-95, 2015 Sep 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-26308263
9.
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists.
BMC Bioinformatics
; 15 Suppl 11: S4, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25349983
10.
Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population.
BMC Bioinformatics
; 15 Suppl 11: S6, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25350283
11.
A unifying ontology to integrate histological and clinical observations for drug-induced liver injury.
Am J Pathol
; 182(4): 1180-7, 2013 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-23395088
12.
Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment.
Exp Biol Med (Maywood)
; 248(21): 1927-1936, 2023 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37997891
13.
RxNorm for drug name normalization: a case study of prescription opioids in the FDA adverse events reporting system.
Front Bioinform
; 3: 1328613, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38250436
14.
A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database.
Exp Biol Med (Maywood)
; 248(21): 1944-1951, 2023 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-38158803
15.
atBioNet--an integrated network analysis tool for genomics and biomarker discovery.
BMC Genomics
; 13: 325, 2012 Jul 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-22817640
16.
Modeling chemical interaction profiles: I. Spectral data-activity relationship and structure-activity relationship models for inhibitors and non-inhibitors of cytochrome P450 CYP3A4 and CYP2D6 isozymes.
Molecules
; 17(3): 3383-406, 2012 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-22421792
17.
Modeling chemical interaction profiles: II. Molecular docking, spectral data-activity relationship, and structure-activity relationship models for potent and weak inhibitors of cytochrome P450 CYP3A4 isozyme.
Molecules
; 17(3): 3407-60, 2012 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-22421793
18.
Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials.
Nanomaterials (Basel)
; 12(19)2022 Sep 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36234502
19.
Assessing reproducibility of inherited variants detected with short-read whole genome sequencing.
Genome Biol
; 23(1): 2, 2022 01 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34980216
20.
Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic acid on rat kidneys.
Chem Res Toxicol
; 24(9): 1486-93, 2011 Sep 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-21834575