208
S. Sakkiah et al.
3. Neamati N, Hong H, Sunder S, Milne GWA, Pommier Y (1997) Potent inhibitors of human
immunodeficiency virus type 1 integrase: a novel four-point pharmacophore searching of the
NCI 3D database. Mol Pharmacol 52:1041–1055
4. Hong H, Neamati N, Wang S, Nicklaus MC, Mazumder A, Zhao H, Burke TR, Pommier Y,
Milne GWA (1997) Discovery of Hiv-1 integrase inhibitors by pharmacophore searching. J
Med Chem 40:930–936
5. Luo H, Du T, Zhou P, Yang L, Mei H, Ng HW, Zhang W, Shu M, Tong W, Shi L, Mendrick
DL, Hong H (2015) Molecular docking to identify associations between drugs and class I
human leukocyte antigens for predicting potential idiosyncratic drug reactions. Comb Chem
High Throughput Screen 18(3):296–304
6. Drake RR, Neamati N, Hong H, Pilon A, Sunthankar P, Hume SD, Wilne GWA, Pommier Y
(1998) Identification of a mononucleotide binding site in human HIV-1 integrase. Proc Natl
Accad Sci USA 98:1495–1500
7. Ng HW, Leggett C, Sakkiah S, Pan B, Ye H, Wu L, Selvaraj C, Tong W, Hong H (2018)
Competitive docking model for prediction of the human nicotinic acetylcholine receptor α7
binding of tobacco constituents. Oncotarget 9(24):16899–16916
8. Luo H, Mattes W, Mendrick DL, Hong H (2016) Molecular docking for identification of
potential targets for drug repurposing. Curr Top Med Chem 16(30):3636–3645
9. Ng HW, Shu M, Luo H, Ye H, Ge W, Perkins R, Tong W, Hong H (2015) strogenic activity
data extraction and in silico prediction show the endocrine disruption potential of bisphenol A
replacement compounds. Chem Res Toxicol 28(9):1784–1795
10. Hong H, Hong Q, Perkins R, Shi L, Fang H, Su Z, Dragan Y, Fuscoe JC, Tong W (2009)
The accurate prediction of protein family from amino acid sequence by measuring features of
sequence fragments. J Comput Biol 16(12):1671–1688
11. Liu J, Mansouri K, Judson R, Martin MT, Hong H, Chen M, Xu X, Thomas R, Shah I (2015)
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure. Chem Res
Toxicol 28:738–751
12. Luo H, Ye H, Ng HW, Shi L, Tong W, Mendrick DL, Hong H (2015) Machine learning methods
for predicting HLA-peptide binding activity. Bioinform Biol Insights 9:21–29
13. Tong W, Hong H, Fang H, Xie Q, Perkins R (2003) Decision forest: combining the predictions
of multiple independent decision tree models. J Chem Inf Comput Sci 43:525–531
14. Hong H, Tong W, Xie Q, Fang H, Perkins R (2005) An in silico ensemble method for lead
discovery: decision forest. SAR QSAR Environ Res 16:339–347
15. Xie Q, Ratnasinghe LD, Hong H, Perkins R, Tang ZZ, Hu N, Taylor PR, Tong W (2005)
Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of
esophageal cancer; a novel method. BMC Bioinformatics 6(Suppl 2):S4
16. Hong H, Tong W, Perkins R, Fang H, Xie Q, Shi L Multiclass decision forest-a novel pattern
recognition method for multiclass classification in microarray data analysis. DNA and Cell
Biology 23:685–694
17. Hong H, Thakkar S, Chen M, Tong W (2018) Development of decision forest models for
prediction of drug-induced liver injury in humans using a large set of fda-approved drugs. Sci
Rep 7(1):17311
18. Hong H, Rua D, Sakkiah S, Selvaraj C, Ge W, Tong W (2016) Consensus modeling for prediction of estrogenic activity of ingredients commonly used in sunscreen products. Int J Environ
Res Public Health 13(10):E958
19. Hong H, Harvey BG, Palmese GR, Stanzione JF, Ng HW, Sakkiah S, Tong W, Sadler JM (2016)
Experimental data extraction and in silico prediction of the estrogenic activity of renewable
replacements for bisphenol A. Int J Environ Res Public Health 13(7):E705
20. Hong H, Shen J, Ng HW, Sakkiah S, Ye H, Ge W, Gong P, Xiao W, Tong W (2016) A rat αfetoprotein binding activity prediction model to facilitate assessment of the endocrine disruption
potential of environmental chemicals. Int J Environ Res Public Health 13(4):372
21. Ng HW, Doughty SW, Luo H, Ye H, Ge W, Tong W, Hong H (2015) Development and validation
of decision forest model for estrogen receptor binding prediction of chemicals using large data
sets. Chem Res Toxicol 28(12):2343–2351
S. Sakkiah et al.
3. Neamati N, Hong H, Sunder S, Milne GWA, Pommier Y (1997) Potent inhibitors of human
immunodeficiency virus type 1 integrase: a novel four-point pharmacophore searching of the
NCI 3D database. Mol Pharmacol 52:1041–1055
4. Hong H, Neamati N, Wang S, Nicklaus MC, Mazumder A, Zhao H, Burke TR, Pommier Y,
Milne GWA (1997) Discovery of Hiv-1 integrase inhibitors by pharmacophore searching. J
Med Chem 40:930–936
5. Luo H, Du T, Zhou P, Yang L, Mei H, Ng HW, Zhang W, Shu M, Tong W, Shi L, Mendrick
DL, Hong H (2015) Molecular docking to identify associations between drugs and class I
human leukocyte antigens for predicting potential idiosyncratic drug reactions. Comb Chem
High Throughput Screen 18(3):296–304
6. Drake RR, Neamati N, Hong H, Pilon A, Sunthankar P, Hume SD, Wilne GWA, Pommier Y
(1998) Identification of a mononucleotide binding site in human HIV-1 integrase. Proc Natl
Accad Sci USA 98:1495–1500
7. Ng HW, Leggett C, Sakkiah S, Pan B, Ye H, Wu L, Selvaraj C, Tong W, Hong H (2018)
Competitive docking model for prediction of the human nicotinic acetylcholine receptor α7
binding of tobacco constituents. Oncotarget 9(24):16899–16916
8. Luo H, Mattes W, Mendrick DL, Hong H (2016) Molecular docking for identification of
potential targets for drug repurposing. Curr Top Med Chem 16(30):3636–3645
9. Ng HW, Shu M, Luo H, Ye H, Ge W, Perkins R, Tong W, Hong H (2015) strogenic activity
data extraction and in silico prediction show the endocrine disruption potential of bisphenol A
replacement compounds. Chem Res Toxicol 28(9):1784–1795
10. Hong H, Hong Q, Perkins R, Shi L, Fang H, Su Z, Dragan Y, Fuscoe JC, Tong W (2009)
The accurate prediction of protein family from amino acid sequence by measuring features of
sequence fragments. J Comput Biol 16(12):1671–1688
11. Liu J, Mansouri K, Judson R, Martin MT, Hong H, Chen M, Xu X, Thomas R, Shah I (2015)
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure. Chem Res
Toxicol 28:738–751
12. Luo H, Ye H, Ng HW, Shi L, Tong W, Mendrick DL, Hong H (2015) Machine learning methods
for predicting HLA-peptide binding activity. Bioinform Biol Insights 9:21–29
13. Tong W, Hong H, Fang H, Xie Q, Perkins R (2003) Decision forest: combining the predictions
of multiple independent decision tree models. J Chem Inf Comput Sci 43:525–531
14. Hong H, Tong W, Xie Q, Fang H, Perkins R (2005) An in silico ensemble method for lead
discovery: decision forest. SAR QSAR Environ Res 16:339–347
15. Xie Q, Ratnasinghe LD, Hong H, Perkins R, Tang ZZ, Hu N, Taylor PR, Tong W (2005)
Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of
esophageal cancer; a novel method. BMC Bioinformatics 6(Suppl 2):S4
16. Hong H, Tong W, Perkins R, Fang H, Xie Q, Shi L Multiclass decision forest-a novel pattern
recognition method for multiclass classification in microarray data analysis. DNA and Cell
Biology 23:685–694
17. Hong H, Thakkar S, Chen M, Tong W (2018) Development of decision forest models for
prediction of drug-induced liver injury in humans using a large set of fda-approved drugs. Sci
Rep 7(1):17311
18. Hong H, Rua D, Sakkiah S, Selvaraj C, Ge W, Tong W (2016) Consensus modeling for prediction of estrogenic activity of ingredients commonly used in sunscreen products. Int J Environ
Res Public Health 13(10):E958
19. Hong H, Harvey BG, Palmese GR, Stanzione JF, Ng HW, Sakkiah S, Tong W, Sadler JM (2016)
Experimental data extraction and in silico prediction of the estrogenic activity of renewable
replacements for bisphenol A. Int J Environ Res Public Health 13(7):E705
20. Hong H, Shen J, Ng HW, Sakkiah S, Ye H, Ge W, Gong P, Xiao W, Tong W (2016) A rat αfetoprotein binding activity prediction model to facilitate assessment of the endocrine disruption
potential of environmental chemicals. Int J Environ Res Public Health 13(4):372
21. Ng HW, Doughty SW, Luo H, Ye H, Ge W, Tong W, Hong H (2015) Development and validation
of decision forest model for estrogen receptor binding prediction of chemicals using large data
sets. Chem Res Toxicol 28(12):2343–2351