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Yogesh Kalakoti

Showing results (1-10 of 12) with videos related to

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Communications Biology|March 5, 2025
AFsample2 predicts multiple conformations and ensembles with AlphaFold2Yogesh Kalakoti, Björn Wallner
BMC Genomics|March 25, 2021
Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancerVidhi Malik, Yogesh Kalakoti, Durai Sundar
ACS Omega|April 22, 2022
Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug-Target InteractionsYogesh Kalakoti, Shashank Yadav, Durai Sundar
Current Opinion in Structural Biology|February 21, 2025
Prediction of structural variationYogesh Kalakoti, Airy Sanjeev, Björn Wallner
ACS Omega|January 31, 2022
TransDTI: Transformer-Based Language Models for Estimating DTIs and Building a Drug Recommendation WorkflowYogesh Kalakoti, Shashank Yadav, Durai Sundar
Journal of Biosciences|December 2, 2024
Estimating protein-ligand interactions with geometric deep learning and mixture density modelsYogesh Kalakoti, Swaraj Gawande, Durai Sundar
Cancers|July 2, 2021
SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics DataYogesh Kalakoti, Shashank Yadav, 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
ACS Omega|July 22, 2024
Identifying High-Quality Leads among Screened Anticancerous Compounds Using SMILES RepresentationsSwathik Clarancia Peter, Yogesh Kalakoti, Durai Sundar
Bioinformatics (Oxford, England)|January 4, 2024
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddingsAditi Shenoy, Yogesh Kalakoti, Durai Sundar, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Communications Biology|March 5, 2025
AFsample2 predicts multiple conformations and ensembles with AlphaFold2Yogesh Kalakoti, Björn Wallner
BMC Genomics|March 25, 2021
Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancerVidhi Malik, Yogesh Kalakoti, Durai Sundar
ACS Omega|April 22, 2022
Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug-Target InteractionsYogesh Kalakoti, Shashank Yadav, Durai Sundar
Current Opinion in Structural Biology|February 21, 2025
Prediction of structural variationYogesh Kalakoti, Airy Sanjeev, Björn Wallner
ACS Omega|January 31, 2022
TransDTI: Transformer-Based Language Models for Estimating DTIs and Building a Drug Recommendation WorkflowYogesh Kalakoti, Shashank Yadav, Durai Sundar
Journal of Biosciences|December 2, 2024
Estimating protein-ligand interactions with geometric deep learning and mixture density modelsYogesh Kalakoti, Swaraj Gawande, Durai Sundar
Cancers|July 2, 2021
SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics DataYogesh Kalakoti, Shashank Yadav, 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
ACS Omega|July 22, 2024
Identifying High-Quality Leads among Screened Anticancerous Compounds Using SMILES RepresentationsSwathik Clarancia Peter, Yogesh Kalakoti, Durai Sundar
Bioinformatics (Oxford, England)|January 4, 2024
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddingsAditi Shenoy, Yogesh Kalakoti, Durai Sundar, et al.
Pageof 2