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14 September, 2024 I 3AB, Krea University Campus
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Quantum Computing for Complex Simulations
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One of the key aspects of quantum computing is the enormous parallelism it offers at various stages of calculation. This talk will explore how this provides a previously unavailable tool.
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Professor S Sivakumar, Professor of Physics, SIAS and Dean of Research, Krea University
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Algorithms and tools for Clustering with applications in Computational Biology
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In this talk, the speaker will first focus on key problems in Bioinformatics/Computational Biology from a computational and data science perspective. The presentation will begin with an overview of the relevant biological context, followed by a discussion of algorithms and heuristics for biological sequence analysis and their applications in constructing phylogenetic and evolutionary trees.
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Dr Srikrishnan Divakaran, Associate Professor of Computer Science, SIAS, Krea University
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Oscillation in Alzheimer's Disease Progression
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Alzheimer’s disease is the most common incurable neurodegenerative condition affecting the elderly population. The presentation will cover results from a model biochemical network, which suggests that the disease may be preceded by oscillations in biomarkers.
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Dr Kalyan Chakrabarti, Associate Professor of Biological Sciences and Chemistry and Associate Dean (Students), SIAS, Krea University
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Scientific Computing: Case Studies in Pharma and Materials
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We will be sharing the details of the abstract shortly. Stay tuned for further updates!
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Professor Sudip Roy, Adjunct Professor of Chemistry, SIAS, Krea University
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Calculating the biophysical properties of protein-lipid complexes within the cell through Molecular Dynamics: A study of Extended Synaptotagmin 2
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Extended synaptotagmin 2 (E-Syt2) is a lipid transfer protein that shuttles lipids between the endoplasmic reticulum and the plasma membrane. The research utilised molecular dynamics to computationally simulate these protein-lipid complexes and uncover relevant biophysical information about the transfer mechanism facilitated by E-Syt2.
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Anwesha Baral, Research Assistant, SIAS, Krea University
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Beyond Protein Structure Prediction: Perturbative Hacking of AlphaFold
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Proteins are dynamic, shapeshifting biomolecular machines that make life possible on Earth. In 2021, Google DeepMind's deep learning model, AlphaFold2, demonstrated that predicting the static structures of proteins from their sequences is a solvable problem. The research indicates that, when carefully calibrated, AlphaFold2 has the potential to reveal the evolutionarily conserved dynamics of proteins in physically plausible ways.
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Kaustav Mehta, Research Assistant, SIAS, Krea University
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Campus: 5655, Central Express Way, Sri City, Andhra Pradesh - 517464
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