Author

Ridwan Sakidja

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony T Ascone· 1 shared

Activity by Year

2016-2016 · peak 1/yr

1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintAug 8, 2016

MDM2 case study: Computational protocol utilizing protein flexibility and data mining improves ligand binding mode predictions

Anthony T Ascone, Ridwan Sakidja

This study improves ligand binding mode predictions for MDM2 using flexible protein models and data mining, enhancing docking accuracy for drug discovery.

DOI 10.1101/054239

protein structuredeep learning

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