Srinivasulu Yerukala Sathipati
Associate Research Scientist
Center for Precision Medicine Research
1000 North Oak Ave. MLR Marshfield, WI 54449
- PhD, Bioinformatics and Systems biology, National Yang Ming Chiao Tung University (formerly National Chiao Tung University), Hsinchu, Taiwan
- MSc, Bioinformatics, Sri Venkateswara University, Tirupati, Andhrapradesh, India
- BSc, Biotechnology, Sri Krishnadevaraya University, Andhrapradesh, India
- 2021 to Present:
- Associate Research Scientist, Marshfield Clinic Research Institute, Marshfield, WI
- 2017 to 2021:
- Postdoctoral Fellow, National Chiao Tung University, Hsinchu, Taiwan
Today, the concept of precision medicine requires knowledge in multiple fields such as bioinformatics, machine learning and artificial intelligence. My research focuses on applications of bioinformatics in cancer research with the goal of identifying important biomarkers in various cancers which would help in biomarker discovery and personalized medicine. I am interested in developing novel computational methods for identifying gene signatures for early stage detection and survival estimation in patients with various cancers using bioinformatics/machine learning techniques. My long-standing aim is to be actively involved in bioinformatics which would bring fresh insights into the precision medicine research.
• Developing non-invasive early stage detection of cancers using Artificial intelligence
• Identifying cancer biomarkers for diagnosis, prognosis and treatment response
• Integrating bioinformatics and omics data to establish a biomarker signature platform which provides important biomarker signatures associated with various cancers
• Applications of Machine learning/Artificial intelligence in multidisciplinary areas, including bioinformatics, cancer research, precision medicine, neurological diseases and COVID-19
Sathipati SY, Ho SY. Identification of the miRNA signature associated with survival in patients with ovarian cancer. Aging (Albany NY). 2021 May 15; 13(9):12660-12690. doi: 33910165. PMCID: PMC8148489.
PubMed ID: 33910165
Yerukala Sathipati, Srinivasulu. Identification and Characterization of Species-Specific Severe Acute Respiratory Syndrome Coronavirus 2 Physicochemical Properties. ACS Chem. Biol.. 2021 April 15; 20(5):2942-2952. doi: 10.1021/acs.jproteome.1c00156. PMCID: PMC8056951.
PubMed ID: 33856796
Lin Y, Yerukala Sathipati S, Ho SY. Predicting the Risk Genes of Autism Spectrum Disorders. Front Genet. 2021 June 14; 12 :665469. doi: 10.3389/fgene.2021.665469. PMCID: PMC8236850.
PubMed ID: 34194469
Srinivasulu Yerukala Sathipati, Shinn-Ying Ho. Identification and Characterization of Species-Specific SARS-CoV-2 Physicochemical Properties. [published online ahead of print 2020 September 24]. SSRN Electronic Journal. doi: 10.2139/ssrn.3677481 .
Yerukala Sathipati S, Ho SY. Novel miRNA signature for predicting the stage of hepatocellular carcinoma. Sci Rep. 2020 September 2; 10(1):14452. doi: 10.1038/s41598-020-71324-z. PMCID: PMC7467934.
PubMed ID: 32879391
Yerukala Sathipati, Srinivasulu, Sahu, Divya, Huang, Hsuan-cheng, Lin, Ynching, Ho, Shinn-Ying. Identification and characterization of the lncRNA signature associated with overall survival in patients with neuroblastoma. Sci Rep. 2019 March 26; 5125 doi: 10.1038/s41598-019-41553-y. PMCID: PMC6435792.
PubMed ID: 30914706
Yerukala Sathipati, Srinivasulu, Ho, Shinn-Ying. Identifying a miRNA signature for predicting the stage of breast cancer. Sci Rep. 2018 October 31; 16138 doi: 10.1038/s41598-018-34604-3. PMCID: PMC6208346.
PubMed ID: 30382159
Yerukala Sathipati S, Huang HL, Ho SY. Estimating survival time of patients with glioblastoma multiforme and characterization of the identified microRNA signatures. BMC GENOMICS. 2016 December 22; 17(Suppl 13):1022. doi: 10.1186/s12864-016-3321-y. PMCID: PMC5260001.
PubMed ID: 28155650
Yerukala Sathipati, Srinivasulu, Wang, Jyun-Rong, Hsu, Kai-Ti, Stai, Ming-Ju, Charoenkwan, Phasit, Huang, Wen-Lin,...Ho, Shinn-Ying. Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes. BMC BIOINFORMATICS. 2015 December 9; S14 doi: 10.1186/1471-2105-16-S18-S14. PMCID: PMC4682391.
PubMed ID: 26681483
Liou, YiFan, Charoenkwan, Phasit, Yerukala Sathipati, Srinivasulu, Vasylenko,Tamara, Lai, Shih-Chung, Lee, Hua-Chin,...Ho, Shinn-Ying. SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides. 2014 December 8; S4
Huang, Hui Ling, Liou, Yi Fan, Lee, Hua Chin, Charoenkwan, Phasit, Chang, Chao Di, Yerukala Sathipati, Srinivasulu,...Ho, Shinn Ying. Predicting and Analyzing Lipid-Binding Proteins Using an Efficient Physicochemical Property Mining Method. Scientific.Net. 2013 September; 421
Hui-Ling Huang, Yerukala Sathipati Srinivasulu, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho. Designing predictors of halophilic and non-halophilic proteins using support vector machines. 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 2013 April; doi: 10.1109/CIBCB.2013.6595414.