Data and machine model for Machine Learning Prediction of Molecular Binding Profiles on Metal-Porphyrin via Spectroscopic Descriptors

Ke Ye

doi:10.5281/zenodo.8434613

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Data and machine model for Machine Learning Prediction of Molecular Binding Profiles on Metal-Porphyrin via Spectroscopic Descriptors

Ke Ye

Year: 2023 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.8434613

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Abstract

Data and machine model for Machine Learning Prediction of Molecular Binding Profiles on Metal-Porphyrin via Spectroscopic Descriptors

Keywords:

Porphyrin Artificial intelligence Computer science Molecular machine Metal Machine learning Chemistry Pattern recognition (psychology) Materials science Nanotechnology Photochemistry Organic chemistry

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data and machine model for Machine Learning Prediction of Molecular Binding Profiles on Metal-Porphyrin via Spectroscopic Descriptors

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