2024

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• Bikirna and Hridya's work on using Memory effects to explain Internal Friction is published in JPCB:

      https://doi.org/10.1021/acs.jpcb.4c05394

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• Amal's work on beta-catenin published in PCCP: Unraveling the folding-assisted unbinding mechanism of TCF with its binding partner ß-catenin.

        https://doi.org/10.1039/D4CP01451K

 

 

• Amal successfully defended his Ph.D. thesis

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• SPOTLIGHT: Sreyas's work on combining Reinforcement Learning with Physics based de novo Drug Design  accepted in Digital Discovery.

       https://doi.org/10.1039/D3DD00194F

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   2023

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• Amal's work published in ACS Applied Bio Materials:

      "Targeting RdRp of SARS-CoV-2 with De Novo 

       Molecule Generation"

      

       https://doi.org/10.1021/acsabm.3c00339

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• Our Collaborative work accepted in Chemical Science:

      "Engineered vitamin E-tethered non-immunogenic facial           lipopeptide for developing improved siRNA based      

      combination therapy against metastatic breast cancer."

      Chemical Science (accepted).

      

       https://doi.org/10.1039/D3SC01071F

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• Sreyas was awarded the "Best MS Thesis Award" in Chemistry.

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   2022​​​                                                                                      

• Abhijit succesfully defended his PhD thesis                        

• Amal is nominated as principal candidate for Fulbright-Nehru  Doctoral fellowship award 2022 -2023                                                                                                                                                                            

• The first paper in machine learning from our group got published in the Cell Press journal Patterns                 “Accurate Prediction of B-form/A-form DNA Conformation Propensity from Primary Sequence: A Machine Learning and Free energy Handshake” Patterns (in press)

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