Ganesh Bagler, Ph.D.
Affiliations: | Max Planck Institute for Molecular Genetics, Berlin, Berlin, Germany |
Area:
Computational Neuroscience, Computational Biology, Complex Networks, Protein Structure AnalysisWebsite:
http://sites.google.com/site/ganeshbagler/Google:
"Ganesh Bagler"Bio:
Ganesh started his career with training as a physicist from Department of Physics, Pune University, India. He moved on to School of Physics, University of Hyderabad to do MTech in Computational Techniques. He opted out of a IT job as a Software Developer in an international firm and chose to join for PhD after selection at Centre for Cellular and Molecular Biology (CCMB). At CCMB, he worked on Mathematical and Computational Ecology as well his PhD topic: Computational Biology. Along with his PhD work, he also worked on transportation network and published a paper on Aiport Network of India (ANI). As part of PhD work he worked on modeling protein structures as networks of interacting amino acids and discovered an interesting property of protein structures, viz., assortativity. He joined National Centre for Biological Sciences, Bangalore, India for his first postdoc in computational neuroscience.Presently he is working as a Research Fellow at the Max-Planck-Institute of Molecular Genetics, Berlin in the Bioinformatics and Computational Proteomics Division.
(Show less)
Mean distance: 14.36 (cluster 6) | S | N | B | C | P |
Cross-listing: Chemistry Tree
Parents
Sign in to add mentorSomdatta Sinha | grad student | 2002-2007 | Centre for Cellular and Molecular Biology (CSIR) (Chemistry Tree) |
Sumantra ShonaChattarji |
post-doc | 2007-2008 | National Center for Biological Sciences |
Michael Lappe | post-doc | 2007-2008 | Max Planck Institute for Molecular Genetics (Chemistry Tree) |
Children
Sign in to add traineePublications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Goel M, Grover N, Batra D, et al. (2024) FlavorDB2: An updated database of flavor molecules. Journal of Food Science |
Tuwani R, Wadhwa S, Bagler G. (2019) BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules. Scientific Reports. 9: 7155 |
Ravindran V, Nacher JC, Akutsu T, et al. (2019) Network controllability analysis of intracellular signalling reveals viruses are actively controlling molecular systems. Scientific Reports. 9: 2066 |
Rakhi NK, Tuwani R, Mukherjee J, et al. (2018) Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices. Plos One. 13: e0198030 |
Wadhwa S, Gupta A, Dokania S, et al. (2018) A hierarchical anatomical classification schema for prediction of phenotypic side effects. Plos One. 13: e0193959 |
Jain A, Bagler G. (2018) Culinary evolution models for Indian cuisines Physica a: Statistical Mechanics and Its Applications. 503: 170-176 |
Garg N, Sethupathy A, Tuwani R, et al. (2017) FlavorDB: a database of flavor molecules. Nucleic Acids Research |
Ravindran V, Sunitha V, Bagler GB. (2017) Identification of critical regulatory genes in cancer signaling network using controllability analysis Physica A. 474: 134-143 |
Badhwar R, Bagler G. (2017) A distance constrained synaptic plasticity model of C. elegans neuronal network Physica a: Statistical Mechanics and Its Applications. 469: 313-322 |
Pathania S, Bagler G, Ahuja PS. (2016) Differential Network Analysis Reveals Evolutionary Complexity in Secondary Metabolism of Rauvolfia serpentina over Catharanthus roseus. Frontiers in Plant Science. 7: 1229 |