Author

Ujjaini Alam A

ORCID 0000-0001-7977-4639Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein structure· 3 Research Focus:drug response / drug discovery· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Approach:graph neural network· 1

Frequent Co-Authors

Justin JoseiD· 3 shared Nidhi JatanaiD· 3 shared Pooja AroraiD· 3 shared Divye SinghiD· 2 shared Kritika Gupta· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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3 shared papersBioinformatics

Justin JoseORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 12, 2023

PandoraRLO: DQN and Graph convolution based method for optimized ligand pose

Justin Jose, Ujjaini Alam A, Divye Singh…·Pooja Arora

PandoraRLO uses reinforcement learning to predict optimized ligand poses for protein-ligand interactions, achieving accuracy within 0.5 to 4 angstroms for many test complexes.

DOI 10.1101/2023.03.12.532268

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 6, 2022

PandoraRL: DQN and Graph Convolution based ligand pose learning for SARS-COV1 Mprotease

Justin Jose, Ujjaini Alam A, Pooja Arora…·Nidhi Jatana

This paper introduces PandoraRL, a reinforcement learning model using DQN and graph convolution to predict optimal ligand poses for SARS-CoV1 Mprotease.

3 citations

protein structuredeep learning

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BioinformaticsbioRxivPreprintApr 10, 2021

Reinforcement Learning Based Approach for Ligand Pose Prediction

Justin Jose, Kritika Gupta, Ujjaini Alam A…·Pooja Arora

This study introduces a reinforcement learning method for predicting optimized ligand poses and identifying binding sites using graph CNNs.

8 citations

protein structuredeep learning

𝕏 PostBluesky