Author

Elfi Kraka

Southern Methodist UniversityORCID 0000-0002-9658-5626Unclaimed 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· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Eric C. LarsoniD· 2 shared Niraj VermaiD· 2 shared Brian D. ZoltowskiiD· 1 shared Francesco TrozziiD· 1 shared Mohamed Elsaied· 1 shared Nischal KarkiiD· 1 shared Peng TaoiD· 1 shared Raghuram SrinivasiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Eric C. LarsonORCID

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2 papers

Recent·Most cited

Deep Learning-based Ligand Design using Shared Latent Implicit Fingerprints from Collaborative Filtering

Raghuram Srinivas, Niraj Verma, Elfi Kraka, Eric C. Larson

This paper designs new ligands using deep learning to convert latent protein descriptors into SMILES strings, resulting in chemically feasible compounds with potential binding affinities to known proteins.

Journal of Chemical Information and Modeling · Apr 26, 2021Peer-reviewedBioinformatics

SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction

Niraj Verma, Xingming Qu, Francesco Trozzi, Mohamed Elsaied, Nischal Karki, Peng Tao, Brian D. Zoltowski, Eric C. Larson, Elfi Kraka

SSnet predicts protein-ligand interactions using secondary structure features, outperforming existing models and revealing key structural elements for ligand binding.

International Journal of Molecular Sciences · Jan 30, 2021Peer-reviewedBioinformatics