Year |
Citation |
Score |
2022 |
Gupta VK, Bakshi U, Chang D, Lee AR, Davis JM, Chandrasekaran S, Jin YS, Freeman MF, Sung J. TaxiBGC: a Taxonomy-Guided Approach for Profiling Experimentally Characterized Microbial Biosynthetic Gene Clusters and Secondary Metabolite Production Potential in Metagenomes. Msystems. e0092522. PMID 36378489 DOI: 10.1128/msystems.00925-22 |
0.487 |
|
2021 |
Chung CH, Lin DW, Eames A, Chandrasekaran S. Next-Generation Genome-Scale Metabolic Modeling through Integration of Regulatory Mechanisms. Metabolites. 11. PMID 34564422 DOI: 10.3390/metabo11090606 |
0.32 |
|
2020 |
Jones BM, Rao VD, Gernat T, Jagla T, Cash-Ahmed AC, Rubin BE, Comi TJ, Bhogale S, Husain SS, Blatti C, Middendorf M, Sinha S, Chandrasekaran S, Robinson GE. Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks. Elife. 9. PMID 33350385 DOI: 10.7554/eLife.62850 |
0.303 |
|
2020 |
Campit SE, Meliki A, Youngson NA, Chandrasekaran S. 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. e2000083. PMID 32638413 DOI: 10.1002/Bies.202000083 |
0.37 |
|
2020 |
Oruganty K, Campit SE, Mamde S, Lyssiotis CA, Chandrasekaran S. Common biochemical properties of metabolic genes recurrently dysregulated in tumors. Cancer & Metabolism. 8: 5. PMID 32411371 DOI: 10.1186/S40170-020-0211-1 |
0.338 |
|
2020 |
Campit S, Chandrasekaran S. Inferring Metabolic Flux from Time-Course Metabolomics. Methods in Molecular Biology (Clifton, N.J.). 2088: 299-313. PMID 31893379 DOI: 10.1007/978-1-0716-0159-4_13 |
0.369 |
|
2019 |
Ma S, Jaipalli S, Larkins-Ford J, Lohmiller J, Aldridge BB, Sherman DR, Chandrasekaran S. Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis. Mbio. 10. PMID 31719182 DOI: 10.1128/Mbio.02627-19 |
0.456 |
|
2019 |
Peñalver Bernabé B, Thiele I, Galdones E, Siletz A, Chandrasekaran S, Woodruff TK, Broadbelt LJ, Shea LD. Dynamic genome-scale cell-specific metabolic models reveal novel inter-cellular and intra-cellular metabolic communications during ovarian follicle development. Bmc Bioinformatics. 20: 307. PMID 31182013 DOI: 10.1186/S12859-019-2825-2 |
0.353 |
|
2019 |
Shen F, Cheek C, Chandrasekaran S. Dynamic Network Modeling of Stem Cell Metabolism. Methods in Molecular Biology (Clifton, N.J.). 1975: 305-320. PMID 31062316 DOI: 10.1007/978-1-4939-9224-9_14 |
0.407 |
|
2019 |
Shen F, Boccuto L, Pauly R, Srikanth S, Chandrasekaran S. Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors. Genome Biology. 20: 49. PMID 30823893 DOI: 10.1186/S13059-019-1661-Z |
0.391 |
|
2019 |
Chandrasekaran S. A Protocol for the Construction and Curation of Genome-Scale Integrated Metabolic and Regulatory Network Models. Methods in Molecular Biology (Clifton, N.J.). 1927: 203-214. PMID 30788794 DOI: 10.1007/978-1-4939-9142-6_14 |
0.417 |
|
2019 |
Chandrasekaran S. Predicting Drug Interactions From Chemogenomics Using INDIGO. Methods in Molecular Biology (Clifton, N.J.). 1888: 219-231. PMID 30519950 DOI: 10.1007/978-1-4939-8891-4_13 |
0.324 |
|
2018 |
Cokol M, Li C, Chandrasekaran S. Chemogenomic model identifies synergistic drug combinations robust to the pathogen microenvironment. Plos Computational Biology. 14: e1006677. PMID 30596642 DOI: 10.1371/Journal.Pcbi.1006677 |
0.33 |
|
2018 |
Shpigler HY, Saul MC, Murdoch EE, Corona F, Cash-Ahmed AC, Seward CH, Chandrasekaran S, Stubbs LJ, Robinson GE. Honey bee neurogenomic responses to affiliative and agonistic social interactions. Genes, Brain, and Behavior. e12509. PMID 30094933 DOI: 10.1111/Gbb.12509 |
0.363 |
|
2018 |
Saul MC, Blatti C, Yang W, Bukhari SA, Shpigler HY, Troy JM, Seward CH, Sloofman L, Chandrasekaran S, Bell AM, Stubbs L, Robinson GE, Zhao SD, Sinha S. Cross-species systems analysis of evolutionary toolkits of neurogenomic response to social challenge. Genes, Brain, and Behavior. e12502. PMID 29968347 DOI: 10.1111/Gbb.12502 |
0.36 |
|
2017 |
Chandrasekaran S, Zhang J, Sun Z, Zhang L, Ross CA, Huang YC, Asara JM, Li H, Daley GQ, Collins JJ. Comprehensive Mapping of Pluripotent Stem Cell Metabolism Using Dynamic Genome-Scale Network Modeling. Cell Reports. 21: 2965-2977. PMID 29212039 DOI: 10.1016/J.Celrep.2017.07.048 |
0.396 |
|
2017 |
Bukhari SA, Saul MC, Seward CH, Zhang H, Bensky M, James N, Zhao SD, Chandrasekaran S, Stubbs L, Bell AM. Temporal dynamics of neurogenomic plasticity in response to social interactions in male threespined sticklebacks. Plos Genetics. 13: e1006840. PMID 28704398 DOI: 10.1371/Journal.Pgen.1006840 |
0.372 |
|
2017 |
Saul M, Seward CH, Troy JM, Zhang H, Sloofman LG, Lu X, Weisner PA, Caetano-Anolles D, Sun H, Zhao SD, Chandrasekaran S, Sinha S, Stubbs L. Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice. Genome Research. PMID 28356321 DOI: 10.1101/Gr.214221.116 |
0.396 |
|
2017 |
Shpigler HY, Saul MC, Murdoch EE, Cash-Ahmed AC, Seward CH, Sloofman L, Chandrasekaran S, Sinha S, Stubbs LJ, Robinson GE. Behavioral, transcriptomic and epigenetic responses to social challenge in honey bees. Genes, Brain, and Behavior. PMID 28328153 DOI: 10.1111/Gbb.12379 |
0.389 |
|
2016 |
Zhang J, Ratanasirintrawoot S, Chandrasekaran S, Wu Z, Ficarro SB, Yu C, Ross CA, Cacchiarelli D, Xia Q, Seligson M, Shinoda G, Xie W, Cahan P, Wang L, Ng SC, et al. LIN28 Regulates Stem Cell Metabolism and Conversion to Primed Pluripotency. Cell Stem Cell. PMID 27320042 DOI: 10.1016/J.Stem.2016.05.009 |
0.319 |
|
2016 |
Chandrasekaran S, Cokol-Cakmak M, Sahin N, Yilancioglu K, Kazan H, Collins JJ, Cokol M. Chemogenomics and orthology-based design of antibiotic combination therapies. Molecular Systems Biology. 12: 872. PMID 27222539 DOI: 10.15252/Msb.20156777 |
0.353 |
|
2016 |
Sobotka JA, Daley M, Chandrasekaran S, Rubin BD, Thompson GJ. Structure and function of gene regulatory networks associated with worker sterility in honeybees. Ecology and Evolution. PMID 26925214 DOI: 10.1002/Ece3.1997 |
0.368 |
|
2015 |
Chandrasekaran S, Rittschof CC, Djukovic D, Gu H, Raftery D, Price ND, Robinson GE. Aggression is associated with aerobic glycolysis in the honey bee brain(1). Genes, Brain, and Behavior. 14: 158-66. PMID 25640316 DOI: 10.1111/Gbb.12201 |
0.543 |
|
2014 |
Brooks AN, Reiss DJ, Allard A, Wu WJ, Salvanha DM, Plaisier CL, Chandrasekaran S, Pan M, Kaur A, Baliga NS. A system-level model for the microbial regulatory genome. Molecular Systems Biology. 10: 740. PMID 25028489 DOI: 10.15252/Msb.20145160 |
0.37 |
|
2013 |
Chandrasekaran S, Price ND. Metabolic constraint-based refinement of transcriptional regulatory networks. Plos Computational Biology. 9: e1003370. PMID 24348226 DOI: 10.1371/Journal.Pcbi.1003370 |
0.593 |
|
2013 |
Simeonidis E, Chandrasekaran S, Price ND. A guide to integrating transcriptional regulatory and metabolic networks using PROM (probabilistic regulation of metabolism). Methods in Molecular Biology (Clifton, N.J.). 985: 103-12. PMID 23417801 DOI: 10.1007/978-1-62703-299-5_6 |
0.583 |
|
2012 |
Sung J, Wang Y, Chandrasekaran S, Witten DM, Price ND. Molecular signatures from omics data: from chaos to consensus. Biotechnology Journal. 7: 946-57. PMID 22528809 DOI: 10.1002/Biot.201100305 |
0.626 |
|
2011 |
Chandrasekaran S, Ament SA, Eddy JA, Rodriguez-Zas SL, Schatz BR, Price ND, Robinson GE. Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states. Proceedings of the National Academy of Sciences of the United States of America. 108: 18020-5. PMID 21960440 DOI: 10.1073/Pnas.1114093108 |
0.664 |
|
2010 |
Chandrasekaran S, Price ND. Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences of the United States of America. 107: 17845-50. PMID 20876091 DOI: 10.1073/Pnas.1005139107 |
0.598 |
|
2010 |
Edelman LB, Chandrasekaran S, Price ND. Systems biology of embryogenesis. Reproduction, Fertility, and Development. 22: 98-105. PMID 20003850 DOI: 10.1071/Rd09215 |
0.517 |
|
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