Sriram Chandrasekaran

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Venues

bioRxiv : the preprint server for biology

PNAS nexus

NPJ breast cancer

Metabolites

University of Michigan

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Michigan Jan 01 2017

United States

Assistant Professor :: Biomedical Engineering

Harvard University Jul 01 2013 - Dec 31 2016

United States

Junior Fellow :: Harvard Society of Fellows

Publications

Ryan Schildcrout, Kirk Smith, Rupa Bhowmick, Suraj Menon, Minali Kapadia, Emily Kurtz, Anya Coffeen-Vandeven, Sriram Chandrasekaran
Recon8D: A metabolic regulome network from oct-omics and machine learning. bioRxiv : the preprint server for biology (2024)
Alec Eames, Sriram Chandrasekaran
Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth. PNAS nexus 3 (1) (2024)
Carolina H Chung, David C Chang, Nicole M Rhoads, Madeline R Shay, Karthik Srinivasan, Mercy A Okezue, Ashlee D Brunaugh, Sriram Chandrasekaran
Transfer learning predicts species-specific drug interactions in emerging pathogens. bioRxiv : the preprint server for biology (2024)
Carolina H Chung, David C Chang, Nicole M Rhoads, Madeline R Shay, Karthik Srinivasan, Mercy A Okezue, Ashlee D Brunaugh, Sriram Chandrasekaran
Transfer learning predicts species-specific drug interactions in emerging pathogens. bioRxiv : the preprint server for biology (2024)
Alec Eames, Sriram Chandrasekaran
Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth. PNAS nexus 3 (1) (2024)
Duxin Sun, Christian Macedonia, Zhigang Chen, Sriram Chandrasekaran, Kayvan Najarian, Simon Zhou, Tim Cernak, Vicki L Ellingrod, H V Jagadish, Bernard Marini, Manjunath Pai, Angela Violi, Jason C Rech, Shaomeng Wang, Yan Li, Brian Athey, Gilbert S Omenn
Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival? Journal of medicinal chemistry (2024)
Carolina H Chung, David C Chang, Nicole M Rhoads, Madeline R Shay, Karthik Srinivasan, Mercy A Okezue, Ashlee D Brunaugh, Sriram Chandrasekaran
Transfer learning predicts species-specific drug interactions in emerging pathogens. bioRxiv : the preprint server for biology (2024)
Alec Eames, Sriram Chandrasekaran
Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth. PNAS nexus 3 (1) (2024)
Shivangi Yadav, Ranya Virk, Carolina H Chung, Mariana Bustamante Eduardo, David VanDerway, Duojiao Chen, Kirsten Burdett, Hongyu Gao, Zexian Zeng, Manish Ranjan, Gannon Cottone, Xiaoling Xuei, Sriram Chandrasekaran, Vadim Backman, Robert Chatterton, Seema Ahsan Khan, Susan E Clare
Author Correction: Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer. NPJ breast cancer 9 (1) (2023)
Shivangi Yadav, Ranya Virk, Carolina H Chung, Mariana Bustamante Eduardo, David VanDerway, Duojiao Chen, Kirsten Burdett, Hongyu Gao, Zexian Zeng, Manish Ranjan, Gannon Cottone, Xiaoling Xuei, Sriram Chandrasekaran, Vadim Backman, Robert Chatterton, Seema Ahsan Khan, Susan E Clare
Author Correction: Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer. NPJ breast cancer 9 (1) (2023)
Carolina H Chung, Sriram Chandrasekaran
A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions. PNAS nexus 1 (3) (2022)
Shivangi Yadav, Ranya Virk, Carolina H Chung, Mariana Bustamante Eduardo, David VanDerway, Duojiao Chen, Kirsten Burdett, Hongyu Gao, Zexian Zeng, Manish Ranjan, Gannon Cottone, Xiaoling Xuei, Sriram Chandrasekaran, Vadim Backman, Robert Chatterton, Seema Ahsan Khan, Susan E Clare
Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer. NPJ breast cancer 8 (1) (2022)
Awanti Sambarey, Kirk Smith, Carolina Chung, Harkirat Singh Arora, Zhenhua Yang, Prachi Agarwal, Sriram Chandrasekaran
Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis. medRxiv : the preprint server for health sciences (2022)
Carolina H Chung, Da-Wei Lin, Alec Eames, Sriram Chandrasekaran
Next-Generation Genome-Scale Metabolic Modeling through Integration of Regulatory Mechanisms. Metabolites 11 (9) (2021)
Jacob King, Maya Patel, Sriram Chandrasekaran
Metabolism, HDACs, and HDAC Inhibitors: A Systems Biology Perspective. Metabolites 11 (11) (2021)
Jing Zhao, Ke Yao, Hua Yu, Ling Zhang, Yuyan Xu, Lang Chen, Zhen Sun, Yuqing Zhu, Cheng Zhang, Yuli Qian, Shuyan Ji, Hongru Pan, Min Zhang, Jie Chen, Cristina Correia, Taylor Weiskittel, Da-Wei Lin, Yu-Zheng Zhao, Sriram Chandrasekaran, Xudong Fu, Dan Zhang, Heng-Yu Fan, Wei Xie, Hu Li, Ze-Ping Hu, Jin Zhang
Metabolic remodelling during early mouse embryo development. Nature metabolism 3 (10) (2021)
Weihua Zhou, Yangyang Yao, Andrew J Scott, Kari Wilder-Romans, Joseph J Dresser, Christian K Werner, Hanshi Sun, Drew Pratt, Peter Sajjakulnukit, Shuang G Zhao, Mary Davis, Barbara S Nelson, Christopher J Halbrook, Li Zhang, Francesco Gatto, Yoshie Umemura, Angela K Walker, Maureen Kachman, Jann N Sarkaria, Jianping Xiong, Meredith A Morgan, Alnawaz Rehemtualla, Maria Graciela Castro, Pedro R Lowenstein, Sriram Chandrasekaran, Theodore S Lawrence, Costas Andreas Lyssiotis, Daniel R Wahl
Purine metabolism regulates DNA repair and therapy resistance in glioblastoma. Nature communications 11 (1) (2020)
Krishnadev Oruganty, Scott Edward Campit, Sainath Mamde, Costas A Lyssiotis, Sriram Chandrasekaran
Common biochemical properties of metabolic genes recurrently dysregulated in tumors. Cancer & metabolism 8 (2020)
Beryl M Jones, Vikyath D Rao, Tim Gernat, Tobias Jagla, Amy C Cash-Ahmed, Benjamin E R Rubin, Troy J Comi, Shounak Bhogale, Syed S Husain, Charles Blatti, Martin Middendorf, Saurabh Sinha, Sriram Chandrasekaran, Gene E Robinson
Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks. eLife 9 (2020)
Scott E Campit, Alia Meliki, Neil A Youngson, Sriram Chandrasekaran
Nutrient Sensing by Histone Marks: Reading the Metabolic Histone Code Using Tracing, Omics, and Modeling. BioEssays : news and reviews in molecular, cellular and developmental biology 42 (9) (2020)
Shuyi Ma, Suraj Jaipalli, Jonah Larkins-Ford, Jenny Lohmiller, Bree B Aldridge, David R Sherman, Sriram Chandrasekaran
Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis. mBio 10 (6) (2019)
Fangzhou Shen, Luigi Boccuto, Rini Pauly, Sujata Srikanth, Sriram Chandrasekaran
Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors. Genome biology 20 (1) (2019)
Sriram Chandrasekaran
Tying Metabolic Branches With Histone Tails Using Systems Biology. Epigenetics insights 12 (2019)
Murat Cokol, Chen Li, Sriram Chandrasekaran
Chemogenomic model identifies synergistic drug combinations robust to the pathogen microenvironment. PLoS computational biology 14 (12) (2018)
Syed Abbas Bukhari, Michael C Saul, Christopher H Seward, Huimin Zhang, Miles Bensky, Noelle James, Sihai Dave Zhao, Sriram Chandrasekaran, Lisa Stubbs, Alison M Bell
Temporal dynamics of neurogenomic plasticity in response to social interactions in male threespined sticklebacks. PLoS genetics 13 (7) (2017)
Sriram Chandrasekaran, Melike Cokol-Cakmak, Nil Sahin, Kaan Yilancioglu, Hilal Kazan, James J Collins, Murat Cokol
Chemogenomics and orthology-based design of antibiotic combination therapies. Molecular systems biology 12 (5) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sriram Chandrasekaran