Oral Talks

1. "A machine-learning approach to antimicrobial peptide prediction, leading a novel antibacterial in wet-lab"; textbf{P Bhadra}. Amrita Pharmacon-2023, International Conference on "Innovations in Antimicrobial Therapeutics" 2023

2. "How does the accessory proteins affect the conformation of Sec61 from yeast?" SE Science Seminars March 2023

3. “How Does Sec63 Affect the conformation of Sec61 in Yeast?”; Hunfeld 2021: Workshop on Computer Simulation and Theory of Macromolecules

4. “Force Field Parameterization for Protein Simulations on Hydrophobic Self- Assembled Monolayer”; Hunfeld 2019: Workshop on Computer Simulation and Theory of Macromolecules

5. “Modified interfacial force field for accurate representation of peptide adsorption free energy on self-assembled monolayer”; Joint Annual Conference of Physical Societies in Guangdong-Hong Kong-Macao Greater Bay Area 2018

6. “Comparing Lipid Force Fields for the Simulation of Self-Assembled Monolayer (SAM) and Protein-Surface Interaction” The 10th International Conference on Computational Physics (ICCP10), 2017

Poster Presentations

1. “Modulating the conformation of the Sec61protein translocation pore”; Cell Physics 2019

2. “A deep learning approach to short antimicrobial peptide prediction”; The German Conference on Bioinformatics (GCB2019)

3. “Highly accurate sequenced-based antimicrobial peptide prediction using random forest”; 4th Macau Symposium on Biomedical Sciences

4. “Protein dynamics and function correlation using a new knowledge based coarse grained force field; Humboldt kollege on Interdisciplinary Science: Catalyst for Sustainable Progress

5. “A new Ca atom based force-field for coarse-grained protein dynamics correlated well with experimental data; International Conference on Bio-molecular Forms and Functions (ICBFF2012)