| Year |
Citation |
Score |
| 2019 |
LeCover R, Orfeo T, Brummel-Ziedins K, Bravo M, Pusateri A, Varner J. Kinetic Modeling of Coagulation and Fibrinolysis Ifac-Papersonline. 52: 94-100. DOI: 10.1016/J.Ifacol.2019.12.242 |
0.34 |
|
| 2018 |
Dai D, Horvath N, Varner J. Dynamic Sequence Specific Constraint-Based Modeling of Cell-Free Protein Synthesis Processes. 6: 132. DOI: 10.3390/PR6080132 |
0.302 |
|
| 2016 |
Gould R, Bassen DM, Chakrabarti A, Varner JD, Butcher J. Population Heterogeneity in the Epithelial to Mesenchymal Transition Is Controlled by NFAT and Phosphorylated Sp1. Plos Computational Biology. 12: e1005251. PMID 28027307 DOI: 10.1371/Journal.Pcbi.1005251 |
0.501 |
|
| 2013 |
Verbridge SS, Chakrabarti A, DelNero P, Kwee B, Varner JD, Stroock AD, Fischbach C. Physicochemical regulation of endothelial sprouting in a 3D microfluidic angiogenesis model. Journal of Biomedical Materials Research. Part A. 101: 2948-56. PMID 23559519 DOI: 10.1002/Jbm.A.34587 |
0.479 |
|
| 2012 |
Chakrabarti A, Verbridge S, Stroock AD, Fischbach C, Varner JD. Multiscale models of breast cancer progression. Annals of Biomedical Engineering. 40: 2488-500. PMID 23008097 DOI: 10.1007/S10439-012-0655-8 |
0.52 |
|
| 2011 |
Lequieu J, Chakrabarti A, Nayak S, Varner JD. Computational modeling and analysis of insulin induced eukaryotic translation initiation. Plos Computational Biology. 7: e1002263. PMID 22102801 DOI: 10.1371/Journal.Pcbi.1002263 |
0.598 |
|
| 2011 |
Chakrabarti A, Chen AW, Varner JD. A review of the mammalian unfolded protein response. Biotechnology and Bioengineering. 108: 2777-93. PMID 21809331 DOI: 10.1002/Bit.23282 |
0.468 |
|
| 2011 |
Tasseff R, Nayak S, Song SO, Yen A, Varner JD. Modeling and analysis of retinoic acid induced differentiation of uncommitted precursor cells. Integrative Biology : Quantitative Biosciences From Nano to Macro. 3: 578-91. PMID 21437295 DOI: 10.1039/C0Ib00141D |
0.546 |
|
| 2011 |
Nayak S, Siddiqui JK, Varner JD. Modelling and analysis of an ensemble of eukaryotic translation initiation models. Iet Systems Biology. 5: 2. PMID 21261397 DOI: 10.1049/Iet-Syb.2009.0065 |
0.555 |
|
| 2010 |
Luan D, Szlam F, Tanaka KA, Barie PS, Varner JD. Ensembles of uncertain mathematical models can identify network response to therapeutic interventions. Molecular Biosystems. 6: 2272-86. PMID 20844798 DOI: 10.1039/B920693K |
0.306 |
|
| 2010 |
Song SO, Chakrabarti A, Varner JD. Ensembles of signal transduction models using Pareto Optimal Ensemble Techniques (POETs). Biotechnology Journal. 5: 768-80. PMID 20665647 DOI: 10.1002/Biot.201000059 |
0.555 |
|
| 2010 |
Nayak S, Shen M, Bunaciu RP, Bloom SE, Varner JD, Yen A. Arsenic trioxide cooperates with all trans retinoic acid to enhance mitogen-activated protein kinase activation and differentiation in PML-RARalpha negative human myeloblastic leukemia cells. Leukemia & Lymphoma. 51: 1734-47. PMID 20615082 DOI: 10.3109/10428194.2010.501535 |
0.493 |
|
| 2010 |
Tasseff R, Nayak S, Salim S, Kaushik P, Rizvi N, Varner JD. Analysis of the molecular networks in androgen dependent and independent prostate cancer revealed fragile and robust subsystems. Plos One. 5: e8864. PMID 20126616 DOI: 10.1371/Journal.Pone.0008864 |
0.515 |
|
| 2009 |
Song SO, Varner J. Modeling and analysis of the molecular basis of pain in sensory neurons. Plos One. 4: e6758. PMID 19750220 DOI: 10.1371/Journal.Pone.0006758 |
0.356 |
|
| 2008 |
Jin IK, Varner JD, Ramkrishna D. A hybrid model of anaerobic E. coli GJT001: Combination of elementary flux modes and cybernetic variables Biotechnology Progress. 24: 993-1006. PMID 19194908 DOI: 10.1002/Btpr.73 |
0.533 |
|
| 2008 |
Nayak S, Salim S, Luan D, Zai M, Varner JD. A test of highly optimized tolerance reveals fragile cell-cycle mechanisms are molecular targets in clinical cancer trials. Plos One. 3: e2016. PMID 18431497 DOI: 10.1371/Journal.Pone.0002016 |
0.538 |
|
| 2007 |
Srivastava R, Varner J. Emerging technologies: systems biology. Biotechnology Progress. 23: 24-7. PMID 17269665 DOI: 10.1021/Bp060352V |
0.307 |
|
| 2000 |
Varner JD. Large-scale prediction of phenotype: concept. Biotechnology and Bioengineering. 69: 664-78. PMID 10918142 DOI: 10.1002/1097-0290(20000920)69:6<664::AID-BIT11>3.0.CO;2-H |
0.301 |
|
| 2000 |
Fussenegger M, Bailey JE, Varner J. A mathematical model of caspase function in apoptosis Nature Biotechnology. 18: 768-774. PMID 10888847 DOI: 10.1038/77589 |
0.349 |
|
| 1999 |
Varner J, Ramkrishna D. Metabolic engineering from a cybernetic perspective: aspartate family of amino acids. Metabolic Engineering. 1: 88-116. PMID 10935757 DOI: 10.1006/Mben.1998.0104 |
0.563 |
|
| 1999 |
Varner J, Ramkrishna D. Metabolic engineering from a cybernetic perspective. 2. Qualitative investigation of nodal architechtures and their response to genetic perturbation Biotechnology Progress. 15: 426-38. PMID 10356259 DOI: 10.1021/Bp990018H |
0.574 |
|
| 1999 |
Varner J, Ramkrishna D. Metabolic engineering from a cybernetic perspective. 1. Theoretical preliminaries Biotechnology Progress. 15: 407-25. PMID 10356258 DOI: 10.1021/Bp990017P |
0.576 |
|
| 1999 |
Varner J, Ramkrishna D. Mathematical models of metabolic pathways. Current Opinion in Biotechnology. 10: 146-50. PMID 10209144 DOI: 10.1016/S0958-1669(99)80025-1 |
0.556 |
|
| 1998 |
Varner J, Ramkrishna D. Application of cybernetic models to metabolic engineering: investigation of storage pathways Biotechnology and Bioengineering. 58: 282-91. PMID 10191402 DOI: 10.1002/(Sici)1097-0290(19980420)58:2/3<282::Aid-Bit24>3.0.Co;2-D |
0.54 |
|
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