admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties F Cheng, W Li, Y Zhou, J Shen, Z Wu, G Liu, PW Lee, Y Tang Journal of Chemical Information and Modeling, 2012 | 1608 | 2012 |
An in silico skin absorption model for fragrance materials J Shen, L Kromidas, T Schultz, S Bhatia Food and chemical toxicology 74, 164-176, 2014 | 863 | 2014 |
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium Nature biotechnology 32 (9), 903-914, 2014 | 773 | 2014 |
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ... Nature biotechnology 32 (9), 926-932, 2014 | 465 | 2014 |
Comparison of cramer classification between toxtree, the OECD QSAR Toolbox and expert judgment S Bhatia, T Schultz, D Roberts, J Shen, L Kromidas, AM Api Regulatory Toxicology and Pharmacology 71 (1), 52-62, 2015 | 365 | 2015 |
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction W Zhang, Y Yu, F Hertwig, J Thierry-Mieg, W Zhang, D Thierry-Mieg, ... Genome biology 16 (1), 1-12, 2015 | 348 | 2015 |
Estimation of ADME properties with substructure pattern recognition J Shen, F Cheng, Y Xu, W Li, Y Tang Journal of chemical information and modeling 50 (6), 1034-1041, 2010 | 309 | 2010 |
CERAPP: collaborative estrogen receptor activity prediction project K Mansouri, A Abdelaziz, A Rybacka, A Roncaglioni, A Tropsha, A Varnek, ... Environmental health perspectives 124 (7), 1023-1033, 2016 | 273 | 2016 |
Role of acetylation and extracellular location of heat shock protein 90α in tumor cell invasion Y Yang, R Rao, J Shen, Y Tang, W Fiskus, J Nechtman, P Atadja, K Bhalla Cancer research 68 (12), 4833-4842, 2008 | 259 | 2008 |
Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers F Cheng, Y Yu, J Shen, L Yang, W Li, G Liu, PW Lee, Y Tang Journal of chemical information and modeling 51 (5), 996-1011, 2011 | 185 | 2011 |
T4 report: Toward good read-across practice (GRAP) guidance N Ball, MTD Cronin, J Shen, K Blackburn, ED Booth, M Bouhifd, E Donley, ... Altex 33 (2), 149, 2016 | 165 | 2016 |
Adverse drug events: database construction and in silico prediction F Cheng, W Li, X Wang, Y Zhou, Z Wu, J Shen, Y Tang Journal of chemical information and modeling 53 (4), 744-752, 2013 | 117 | 2013 |
In Silico Assessment of Chemical Biodegradability F Cheng, Y Ikenaga, Y Zhou, Y Yu, W Li, J Shen, Z Du, L Chen, C Xu, ... Journal of Chemical Information and Modeling, 2012 | 101 | 2012 |
t4 report: Supporting read-across using biological data H Zhu, M Bouhifd, N Kleinstreuer, ED Kroese, Z Liu, T Luechtefeld, ... Altex 33 (2), 167, 2016 | 92 | 2016 |
Exploring coumarin egress channels in human cytochrome P450 2A6 by random acceleration and steered molecular dynamics simulations W Li, J Shen, G Liu, Y Tang, T Hoshino Proteins: Structure, Function, and Bioinformatics 79 (1), 271-281, 2011 | 92 | 2011 |
Developing measures of cognitive impairment in the real world from consumer-grade multimodal sensor streams R Chen, F Jankovic, N Marinsek, L Foschini, L Kourtis, A Signorini, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 91 | 2019 |
In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods F Cheng, J Shen, Y Yu, W Li, G Liu, PW Lee, Y Tang Chemosphere 82 (11), 1636-1643, 2011 | 86 | 2011 |
Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes J Shen, W Zhang, H Fang, R Perkins, W Tong, H Hong BMC bioinformatics 14, 1-11, 2013 | 70 | 2013 |
EADB: an estrogenic activity database for assessing potential endocrine activity J Shen, L Xu, H Fang, AM Richard, JD Bray, RS Judson, G Zhou, ... toxicological sciences 135 (2), 277-291, 2013 | 69 | 2013 |
Central reading of ulcerative colitis clinical trial videos using neural networks K Gottlieb, J Requa, W Karnes, RC Gudivada, J Shen, E Rael, V Arora, ... Gastroenterology 160 (3), 710-719. e2, 2021 | 62 | 2021 |