CCNSB

Center for Computational Natural Sciences and Bioinformatics

Center for Computational Natural Sciences and Bioinformatics (CCNSB) is a research center in IIIT Hyderabad that is involved in teaching and research in the areas of computational chemistry, computational and systems biology, bioinformatics, bio-molecular simulations, nanosciences, statistical mechanics and complex systems. Ever increasing computational power and recent advances in computer science, in fields of distributed computing, networking and database management, have inspired the center to explore the application of these newer technologies and methods to understand the functioning of complex physical, chemical and biological systems.

S No.	Title	Poster	Video
01	A minimal neuronal model for synaptic integration	P-01	V-01
02	Predicting Evaporation events using Deep Learning	P-02	V-02
03	Dynamic reorganization of transcriptome during liver regeneration	P-03	V-03
04	Mathematical modelling of neuronal cell cycle re-entry in neurodegenerative diseases	P-04	V-04
05	Modeling the liver circadian clock control by nutrients	P-05	V-05
06	Precise Limits on charge-2 - 3 U1 Leptoquark	P-06	V-06
07	Hunting for scalar leptoquarks with boosted tops and light leptons	P-07	V-07
08	Mathematical modelling of the meiosis II exit in xenopus oocytes	P-08	V-08
09	Classification using quantum neural networks	P-09	V-09
10	Molecular dynamics study of ion transportation through synthetic ion channel	P-10	V-10
11	Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks	P-11	V-11
12	Enhanced Sampling of Chemical Space for High Throughput Screening Applications using Machine Learning	P-12	V-12
13	DockingRL - A Reinforcement Learning Guided Method to Generate Moleculesthat Dock Well to Drug Targets	P-13	V-13
14	Covid-19 detection using CNN	P-14	V-14
15	Demographic Analysis of Mutations in SARS-CoV-2 Isolates from India	P-15	V-15
16	Structural modulation in Smoothened receptor - SMO - upon cholesterol binding	P-16	V-16
17	Quantum Bomb Detection using the Zeno Effect	P-17	V-17
18	Neural network potentials	P-18	V-18
19	Dynamics of Naive T lymphocyte Quiescence Exit	P-19	V-19
20	Comparative study of human insulin and insulin aspart dimer dissociation in aqueous solution	P-20	V-20
21	Risk Stratification and Mortality Prediction on hospitalized COVID-19 patients	P-21	V-21
22	Qubit Routing Strategies Using Machine Learning	P-22	V-22
23	Inverse Molecular Problem of determining the structure of a molecule from its C-13 NMR Spectroscopy	P-23	V-23
24	Minimum Energy path In Kinase Conformation	P-24	V-24
25	Quantum Circuit Transformation using Reinforcement Learning	P-25	V-25

All Posters, All Videos