Sunkara, Dr. Vikram

Position:

Staff

Room:

4024

Division:

Mathematics for Life and Materials Sciences

Department:

Modeling and Simulation of Complex Processes

Research group:

Computational Anatomy and Physiology

Mail:

sunkara

zib.de

Phone:

+49 30 841 85 - 432

Fax:

+49 30 841 85 - 107

Publications

2020 2019

2020
Marcus Weber, Christof Schütte, Vikram Sunkara, Ray Sourav	How to calculate pH-dependent binding rates for receptor-ligand systems based on thermodynamic simulations with different binding motifs	ZIB-Report 20-18	PDF BibTeX
Sourav Ray, Vikram Sunkara, Christof Schütte, Marcus Weber	How to calculate pH-dependent binding rates for receptor-ligand systems based on thermodynamic simulations with different binding motifs	2020 (under review)	BibTeX
Vikram Sunkara, N. Alexia Raharinirina, Felix Peppert, Max von Kleist, Christof Schütte	Inferring Gene Regulatory Networks from Single Cell RNA-seq Temporal Snapshot Data Requires Higher Order Moments	ZIB-Report 20-25	PDF BibTeX URN
Felix Peppert, Max von Kleist, Christof Schütte, Vikram Sunkara	On the sufficient condition for solving the gap-filling problem using deep convolutional neural networks	IEEE, 2020 (under review)	BibTeX
Jan Möller, Ali Isbilir, Titiwat Sungkaworn, Brenda Osberg, Christos Karathanasis, Vikram Sunkara, Eugene O Grushevsky, Andreas Bock, Paolo Annibale, Mike Heilemann, Christof Schütte, Martin J. Lohse	Single molecule mu-opioid receptor membrane-dynamics reveal agonist-specific dimer formation with super-resolved precision	Nature-Chemical Biology, 2020	BibTeX DOI
2019
Vikram Sunkara	Algebraic Expressions of Conditional Expectations in Gene Regulatory Networks	pp. 1779-1829, 2019	PDF BibTeX URN DOI
Tobias Haase, Vikram Sunkara, Benjamin Kohl, Carola Meier, Patricia Bußmann, Jessica Becker, Michal Jagielski, Max von Kleist, Wolfgang Ertel	Discerning the spatio-temporal disease patterns of surgically induced OA mouse models	14(4), 2019	BibTeX DOI
Vikram Sunkara	On the Properties of the Reaction Counts Chemical Master Equation	Entropy, 21(6), p. 607, 2019	BibTeX DOI
Anika Rettig, Tobias Haase, Alexandr Pletnyov, Benjamin Kohl, Wolfgang Ertel, Max von Kleist, Vikram Sunkara	SLCV – A Supervised Learning - Computer Vision combined strategy for automated muscle fibre detection in cross sectional images	2019	PDF BibTeX URN DOI