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Dhvani Sandip Vora

Showing results (1-10 of 9) with videos related to

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ACS Omega|December 11, 2023
Improved Machine Learning-Based Model for the Classification of Off-Targets in the CRISPR/Cpf1 SystemPragya Kesarwani, Dhvani Sandip Vora, Durai Sundar
Biomolecules|August 26, 2022
A Machine Learning Approach to Identify the Importance of Novel Features for CRISPR/Cas9 Activity PredictionDhvani Sandip Vora, Yugesh Verma, Durai Sundar
Methods in Molecular Biology (Clifton, N.J.)|October 13, 2022
Computational Methods and Deep Learning for Elucidating Protein Interaction NetworksDhvani Sandip Vora, Yogesh Kalakoti, Durai Sundar
Biomolecules|May 16, 2023
Hybrid Multitask Learning Reveals Sequence Features Driving Specificity in the CRISPR/Cas9 SystemDhvani Sandip Vora, Shashank Yadav, Durai Sundar
Methods (San Diego, Calif.)|April 19, 2024
DNA shape features improve prediction of CRISPR/Cas9 activityDhvani Sandip Vora, Sakshi Manoj Bhandari, Durai Sundar
Journal of Biomolecular Structure & Dynamics|July 26, 2022
Implementing accelerated dynamics to unravel the effects of high-fidelity Cas9 mutants on target DNA and guide RNA hybrid stabilityDhvani Sandip Vora, Atul Kumar Jaiswal, Durai Sundar
Computational and Structural Biotechnology Journal|December 26, 2023
TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC bindingShashank Yadav, Dhvani Sandip Vora, Durai Sundar, et al.
Briefings in Bioinformatics|December 17, 2025
graphB3-an interpretable graph learning approach for predicting blood-brain barrier permeabilitySumit Kumar, Shashank Yadav, Dhvani Sandip Vora, et al.
Cancers|October 26, 2024
Synthetic and Natural Inhibitors of Mortalin for Cancer TherapyShruti Kaushal, Samriddhi Gupta, Seyad Shefrin, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
ACS Omega|December 11, 2023
Improved Machine Learning-Based Model for the Classification of Off-Targets in the CRISPR/Cpf1 SystemPragya Kesarwani, Dhvani Sandip Vora, Durai Sundar
Biomolecules|August 26, 2022
A Machine Learning Approach to Identify the Importance of Novel Features for CRISPR/Cas9 Activity PredictionDhvani Sandip Vora, Yugesh Verma, Durai Sundar
Methods in Molecular Biology (Clifton, N.J.)|October 13, 2022
Computational Methods and Deep Learning for Elucidating Protein Interaction NetworksDhvani Sandip Vora, Yogesh Kalakoti, Durai Sundar
Biomolecules|May 16, 2023
Hybrid Multitask Learning Reveals Sequence Features Driving Specificity in the CRISPR/Cas9 SystemDhvani Sandip Vora, Shashank Yadav, Durai Sundar
Methods (San Diego, Calif.)|April 19, 2024
DNA shape features improve prediction of CRISPR/Cas9 activityDhvani Sandip Vora, Sakshi Manoj Bhandari, Durai Sundar
Journal of Biomolecular Structure & Dynamics|July 26, 2022
Implementing accelerated dynamics to unravel the effects of high-fidelity Cas9 mutants on target DNA and guide RNA hybrid stabilityDhvani Sandip Vora, Atul Kumar Jaiswal, Durai Sundar
Computational and Structural Biotechnology Journal|December 26, 2023
TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC bindingShashank Yadav, Dhvani Sandip Vora, Durai Sundar, et al.
Briefings in Bioinformatics|December 17, 2025
graphB3-an interpretable graph learning approach for predicting blood-brain barrier permeabilitySumit Kumar, Shashank Yadav, Dhvani Sandip Vora, et al.
Cancers|October 26, 2024
Synthetic and Natural Inhibitors of Mortalin for Cancer TherapyShruti Kaushal, Samriddhi Gupta, Seyad Shefrin, et al.
Pageof 1