Work

Data and results for the IDSL.MINT publication

Year: 2023

Type: dataset

Abstract: IDSL_MINT is a new deep learning framework that can predict a molecular fingerprint/SMILES from a MS/MS spectra. This upload contains the input data, configuration files, intermediate and the final results in reference to the manuscript.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8339613

Authors: Sadjad Fakouri Baygi, Barupal, Dinesh Kumar

Institution: Icahn School of Medicine at Mount Sinai

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393873463

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