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  8. Huixiao Hong
  1. Science & Research (NCTR)

Huixiao Hong Ph.D.

Supervisory Research Chemist — Division of Bioinformatics and Biostatistics

Huixiao Hong
Huixiao Hong, Ph.D.

(870) 543-7121

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About  |  Publications  |  Lab Members


Huixiao Hong received his Ph.D. from Nanjing University in China in 1990 and conducted post-doctoral research at Maxwell Institute in Leeds University, England, in 1990-1992. He was an associate professor and the Director of Laboratory of Computational Chemistry at Nanjing University in China from 1992-1995. He was a visiting scientist at National Cancer Institute (NCI) at National Institutes of Health (NIH) from 1995-1998. Dr. Hong held a research scientist position at Sumitomo Chemical Company in Japan from 1998-2000. He was a senior computational scientist at ROW Science from 2000-2002. He was the manager of the Bioinformatics Division at Z-Tech, an ICFI company, at NCTR from 2002-2007. He was an NCTR research chemist from 2007-2018 and is now a supervisory research chemist and the Bioinformatics Branch Chief in the Division of Bioinformatics and Biostatistics. He has more than 200 publications and has received many awards during his career.

Research Interests

Dr. Hong has a spectrum of research interests, including chemoinformatics, computational chemistry, next-generation sequencing data analysis, genome-wide association studies, proteomics, and systems biology. His current research goals are to assess repeatability of whole-genome sequencing technology and to evaluate reproducibility of germline variants called from whole-genome sequencing data. Additionally, he is looking to construct an androgenic-activity database to enhance the endocrine disruptor knowledge base. Dr. Hong is also working to develop predictive models for assistance of safety evaluation of FDA-regulated products.

National and International Groups

Middle South Computational Biology & Bioinformatics
Board of Directors
2016 – Present

Steering Committee
2018 – Present

OpenTox USA 2018 (July 11-12, Durham, NC)
Conference Chair


Select Publications

Publication titles are linked to text abstracts on PubMed.

Development of a Nicotinic Acetylcholine Receptor nAChR α7 Binding Activity Prediction Model.
Sakkiah S., Leggett C., Pan B., Guo W., Valerio L.G. Jr., and Hong H.
J Chem Inf Model. 2020, 60(4):2396-2404. doi: 10.1021/acs.jcim.0c00139.

Applicability Domains Enhance Application of PPARγ Agonist Classifiers Trained by Drug-like Compounds to Environmental Chemicals.
Wang Z., Chen J., and Hong H.
Chem Res Toxicol. 2020, 15;33(6):1382-1388. doi: 10.1021/acs.chemrestox.9b00498.

Discriminant Models on Mitochondrial Toxicity Improved by Consensus Modeling and Resolving Imbalance in Training.
Tang W., Chen J., and Hong H.
Chemosphere. 2020, 253:126768. doi: 10.1016/j.chemosphere.2020.126768.

CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.
Mansouri K., Kleinstreuer N., Abdelaziz A.M., Alberga D., Alves V.M., Andersson P.L., Andrade C.H., Bai F., Balabin I., Ballabio D., Benfenati E., Bhhatarai B., Boyer S., Chen J., Consonni V., Farag S., Fourches D., García-Sosa A.T., Gramatica P., Grisoni F., Grulke C.M., Hong H., Horvath D., Hu X., Huang R., Jeliazkova N., Li J., Li X., Liu H., Manganelli S., Mangiatordi G.F., Maran U., Marcou G., Martin T., Muratov E., Nguyen D.T., Nicolotti O., Nikolov N.G., Norinder U., Papa E., Petitjean M., Piir G., Pogodin P., Poroikov V., Qiao X., Richard A.M., Roncaglioni A., Ruiz P., Rupakheti C., Sakkiah S., Sangion A,., Schramm K.,W,., Selvaraj C., Shah I., Sild S., Sun L., Taboureau O., Tang Y., Tetko I.V., Todeschini R., Tong W., Trisciuzzi D., Tropsha A., Van Den Driessche G.,, Varnek A., Wang Z., Wedebye E.B., Williams A.J., Xie H., Zakharov A.V., Zheng Z., Judson R.S.
Environ Health Perspect. 2020, 128(2):27002. doi: 10.1289/EHP5580.

Quantitative Structure–Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles.
Huang Y., Li X., Xu S., Zheng H., Zhang L., Chen J., Hong H., Kusko R., and Li R.
Environ Health Perspect. 2020, 128(6):67010. doi: 10.1289/EHP6508.

Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods.
Guo W., Pan B., Sakkiah S., Yavas G., Ge W., Zou W., Tong W., and Hong H.
Int J Environ Res Public Health. 2019,  16(22):4361. doi: 10.3390/ijerph16224361.

Similarities and Differences Between Variants Called with Human Reference Genome HG19 or HG38.
Pan B., Kusko R., Xiao W., Zheng Y., Liu Z., Xiao C., Sakkiah S., Guo W., Gong P., Zhang C., Ge W., Shi L., Tong W., and Hong H.
BMC Bioinformatics. 2019, 20(Suppl 2):101. doi: 10.1186/s12859-019-2620-0.

QUICK: Quality and Usability Investigation and Control Kit for Mass Spectrometric Data from Detection of Persistent Organic Pollutants.
Guo W., Archer J., Moore M., Bruce J., McLain M., Shojaee S., Zou W., Benjamin L.A., Adeuya A., Fairchild R., and Hong H.
Int J Environ Res Public Health. 2019, 16(21):4203. doi: 10.3390/ijerph16214203.

dnAQET: A Framework to Compute a Consolidated Metric for Benchmarking Quality of de novo Assemblies.
Yavas G., Hong H., and Xiao W.
BMC Genomics. 2019, 20(1):706. doi: 10.1186/s12864-019-6070-x.

Sequencing XMET Genes to Promote Genotype-Guided Risk Assessment and Precision Medicine.
Jin Y., Chen G., Xiao W., Hong H., Xu J., Guo Y., Xiao W., Shi T., Shi L., Tong W., and Ning B.
Sci China Life Sci. 2019,  62(7):895-904. doi: 10.1007/s11427-018-9479-5.

In Silico Identification of Genetic Mutations Conferring Resistance to Acetohydroxyacid Synthase Inhibitors: A Case Study of Kochia scoparia.
Li Y., Netherland M.D., Zhang C., Hong H., and Gong P.
PLoS One. 2019, 14(5):e0216116. doi: 10.1371/journal.pone.0216116.


Lab Members

Contact information for all lab members:
(870) 543-7121

Minjun Chen, Ph.D.
Staff Fellow

Zhichao Liu, Ph.D.
Visiting Scientist

Wen Zou, Ph.D.
Visiting Scientist

Gokhan Yavas, Ph.D.
Computer Scientist

Suguna Devi Sakkiah, Ph.D.
Staff Fellow

Bohu Pan, Ph.D.
Postdoctoral Fellow

Wenjing Guo, Ph.D
Postdoctoral Fellow

Contact Information
Huixiao Hong
(870) 543-7121
Technology & Discipline
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