Kumaraswamy Naidu Chitrala to Computational Biology
This is a "connection" page, showing publications Kumaraswamy Naidu Chitrala has written about Computational Biology.
Connection Strength
1.955
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Chitrala KN, Nagarkatti M, Nagarkatti P, Yeguvapalli S. Analysis of the TP53 Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach. Int J Mol Sci. 2019 Jun 18; 20(12).
Score: 0.576
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Chitrala KN, Yang X, Busbee B, Singh NP, Bonati L, Xing Y, Nagarkatti P, Nagarkatti M. Computational prediction and in vitro validation of VEGFR1 as a novel protein target for 2,3,7,8-tetrachlorodibenzo-p-dioxin. Sci Rep. 2019 05 02; 9(1):6810.
Score: 0.571
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Chitrala KN, Yeguvapalli S. Computational screening and molecular dynamic simulation of breast cancer associated deleterious non-synonymous single nucleotide polymorphisms in TP53 gene. PLoS One. 2014; 9(8):e104242.
Score: 0.411
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Kwok T, Yeguvapalli S, Chitrala KN. Identification of Genes Crucial for Biological Processes in Breast Cancer Liver Metastasis Relapse. Int J Mol Sci. 2024 May 16; 25(10).
Score: 0.202
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Momin ID, Rigler J, Chitrala KN. Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach. Int J Mol Sci. 2023 Oct 05; 24(19).
Score: 0.194