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One or more keywords matched the following properties of Chitrala, Kumaraswamy Naidu
PropertyValue
keywords Computational Biology
keywords High-Performance Super Computing & Software design
overview Dr. Kumaraswamy Naidu Chitrala is currently an Assistant Professor of Biotechnology at the Department of Engineering Technology, University of Houston. He was working as an Assistant Professor and Head for the Bioinformatics Core at Fels Cancer Institute for Personalized Medicine, Temple University before joining UH. Dr. Kumar received his Ph.D. in Bioinformatics from Sri Venkateswara University in 2015. His research mainly focused on Bioinformatics & Computational Biology, Statistical Genetics, Epidemiology, Epigenetics, Cancer Biology, Health Disparities, Neurological Disorders, and Aging. So far, he has published over 52 original research articles, many of which were published in high-impact journals, such as Nature, Nature Genetics, Nature Communications, Cell, EMBO Journal, Cancer Research, Genome Biology, Epigenetics, Clinical Epigenetics, Molecular Psychiatry, Scientific Reports, Blood. In addition, he served as a reviewer at the NIH and NSF study sections and editorial member for several high-impact journals. He recently received HEALTH-RCMI’s Pilot Grant
One or more keywords matched the following items that are connected to Chitrala, Kumaraswamy Naidu
Item TypeName
Concept Computer Simulation
Concept High-Throughput Screening Assays
Academic Article Comparative analysis of interactions between aryl hydrocarbon receptor ligand binding domain with its ligands: a computational study.
Academic Article The power of genetic diversity in genome-wide association studies of lipids.
Academic Article Computational prediction and analysis of breast cancer targets for 6-methyl-1, 3, 8-trichlorodibenzofuran.
Academic Article Computational screening and molecular dynamic simulation of breast cancer associated deleterious non-synonymous single nucleotide polymorphisms in TP53 gene.
Academic Article Ligand-based virtual screening to predict inhibitors against metastatic lymph node 64.
Academic Article APOE gene region methylation is associated with cognitive performance in middle-aged urban adults.
Academic Article Computational analysis of deleterious single nucleotide polymorphisms in catechol O-Methyltransferase conferring risk to post-traumatic stress disorder.
Academic Article Analysis of the TP53 Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach.
Academic Article Computational prediction and in vitro validation of VEGFR1 as a novel protein target for 2,3,7,8-tetrachlorodibenzo-p-dioxin.
Academic Article Author Correction: The power of genetic diversity in genome-wide association studies of lipids.
Academic Article Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach.
Search Criteria
  • High
  • Performance
  • Super
  • Computing
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