| Year |
Citation |
Score |
| 2017 |
Chavali AK, Rhee SY. Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolites. Briefings in Bioinformatics. PMID 28398567 DOI: 10.1093/Bib/Bbx020 |
0.347 |
|
| 2017 |
Schlapfer P, Zhang P, Wang C, Kim T, Banf M, Chae L, Dreher K, Chavali AK, Nilo-Poyanco R, Bernard T, Kahn D, Rhee SY. Genome-wide prediction of metabolic enzymes, pathways and gene clusters in plants. Plant Physiology. PMID 28228535 DOI: 10.1104/Pp.16.01942 |
0.358 |
|
| 2015 |
Chavali AK, Wong VC, Miller-Jensen K. Distinct promoter activation mechanisms modulate noise-driven HIV gene expression. Scientific Reports. 5: 17661. PMID 26666681 DOI: 10.1038/Srep17661 |
0.317 |
|
| 2013 |
Thiele I, Swainston N, Fleming RM, Hoppe A, Sahoo S, Aurich MK, Haraldsdottir H, Mo ML, Rolfsson O, Stobbe MD, Thorleifsson SG, Agren R, Bölling C, Bordel S, Chavali AK, et al. A community-driven global reconstruction of human metabolism. Nature Biotechnology. 31: 419-25. PMID 23455439 DOI: 10.1038/Nbt.2488 |
0.632 |
|
| 2013 |
Blais EM, Chavali AK, Papin JA. Linking genome-scale metabolic modeling and genome annotation. Methods in Molecular Biology (Clifton, N.J.). 985: 61-83. PMID 23417799 DOI: 10.1007/978-1-62703-299-5_4 |
0.741 |
|
| 2012 |
Chavali AK, Blazier AS, Tlaxca JL, Jensen PA, Pearson RD, Papin JA. Metabolic network analysis predicts efficacy of FDA-approved drugs targeting the causative agent of a neglected tropical disease. Bmc Systems Biology. 6: 27. PMID 22540944 DOI: 10.1186/1752-0509-6-27 |
0.704 |
|
| 2012 |
Chavali AK, D'Auria KM, Hewlett EL, Pearson RD, Papin JA. A metabolic network approach for the identification and prioritization of antimicrobial drug targets. Trends in Microbiology. 20: 113-23. PMID 22300758 DOI: 10.1016/J.Tim.2011.12.004 |
0.67 |
|
| 2011 |
Benedict KF, Mac Gabhann F, Amanfu RK, Chavali AK, Gianchandani EP, Glaw LS, Oberhardt MA, Thorne BC, Yang JH, Papin JA, Peirce SM, Saucerman JJ, Skalak TC. Systems analysis of small signaling modules relevant to eight human diseases. Annals of Biomedical Engineering. 39: 621-35. PMID 21132372 DOI: 10.1007/S10439-010-0208-Y |
0.644 |
|
| 2010 |
Gianchandani EP, Chavali AK, Papin JA. The application of flux balance analysis in systems biology. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 2: 372-82. PMID 20836035 DOI: 10.1002/Wsbm.60 |
0.739 |
|
| 2009 |
Manichaikul A, Ghamsari L, Hom EF, Lin C, Murray RR, Chang RL, Balaji S, Hao T, Shen Y, Chavali AK, Thiele I, Yang X, Fan C, Mello E, Hill DE, et al. Metabolic network analysis integrated with transcript verification for sequenced genomes. Nature Methods. 6: 589-92. PMID 19597503 DOI: 10.1038/Nmeth.1348 |
0.713 |
|
| 2009 |
Roberts SB, Robichaux JL, Chavali AK, Manque PA, Lee V, Lara AM, Papin JA, Buck GA. Proteomic and network analysis characterize stage-specific metabolism in Trypanosoma cruzi. Bmc Systems Biology. 3: 52. PMID 19445715 DOI: 10.1186/1752-0509-3-52 |
0.666 |
|
| 2009 |
Oberhardt MA, Chavali AK, Papin JA. Flux balance analysis: interrogating genome-scale metabolic networks. Methods in Molecular Biology (Clifton, N.J.). 500: 61-80. PMID 19399432 DOI: 10.1007/978-1-59745-525-1_3 |
0.732 |
|
| 2008 |
Chavali AK, Gianchandani EP, Tung KS, Lawrence MB, Peirce SM, Papin JA. Characterizing emergent properties of immunological systems with multi-cellular rule-based computational modeling. Trends in Immunology. 29: 589-99. PMID 18964301 DOI: 10.1016/J.It.2008.08.006 |
0.698 |
|
| 2008 |
Chavali AK, Whittemore JD, Eddy JA, Williams KT, Papin JA. Systems analysis of metabolism in the pathogenic trypanosomatid Leishmania major. Molecular Systems Biology. 4: 177. PMID 18364711 DOI: 10.1038/Msb.2008.15 |
0.685 |
|
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