Bridging the Coordination Chemistry of Small Compounds and Metalloproteins Using Machine Learning-Reference-Cited by-同舟云学术

Bridging the Coordination Chemistry of Small Compounds and Metalloproteins Using Machine Learning

Published:2023-12-06 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Kapuścińska Katarzyna¹,Dukała Zofia¹,Doha Mekhola¹,Ansari Eman¹,Wang Jimin²^ORCID,Brudvig Gary W.²³^ORCID,Brooks Bernand⁴,Amin Muhamed¹⁴^ORCID

Affiliation:

1. Department of Sciences, University College Groningen, University of Groningen, 9718 BG Groningen, The Netherlands

2. Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, United States

3. Department of Chemistry, Yale University, New Haven, Connecticut 06520, United States

4. Laboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01564

Reference34 articles.

1. NSAID-Based Coordination Compounds for Biomedical Applications: Recent Advances and Developments

2. Formazanate coordination compounds: synthesis, reactivity, and applications

3. Perspectives of medicinally privileged chalcone based metal coordination compounds for biomedical applications

4. Analytical applications of co-ordination compounds

5. Blue Copper Proteins: A rigid machine for efficient electron transfer, a flexible device for metal uptake

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