Publications

Vamsi Nallapareddy, Rohit Dwivedula (2021). ABLE: Attention Based Learning for Enzyme Classification. In CBAC.

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Nicola Bordin, Ian Sillitoe, Vamsi Nallapareddy, Maria Littmann, Michael Heinzinger, Burkhard Rost, Christine Orengo (2021). Improvements in CATH-Gene3D v4.3 and its applications to diverse sets of proteins. In CBCB 2021.

Vamsi Nallapareddy, Shubham Bogam, Himaja Devarakonda, Shubham Paliwal, Debashree Bandyopadhyay (2021). DeepCys: Structure‐based multiple cysteine function prediction method trained on deep neural network: Case study on domains of unknown functions belonging to COX2 domains. In Proteins.

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Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu (2020). Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. In IEEE BIBM 2020.

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Vamsi Nallapareddy, Shriram Bhat, Vidya Rajesh (2020). Evaluating SERA 5 Competition for Sub-1 Mediated Cleavage of SERA 6 in Plasmodium Falciparum and Its Role in the Kinetics of Egress Using In-Silico Tools. In ICDD 2020.

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