How do centrality measures help to predict similarity patterns in molecular chemical structural graphs?-Reference-Cited by-同舟云学术

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How do centrality measures help to predict similarity patterns in molecular chemical structural graphs?

Published:2023-12 Issue:2 Volume:1 Page:100007
ISSN:2949-7477
Container-title:Artificial Intelligence Chemistry
language:en
Short-container-title:Artificial Intelligence Chemistry

Author:

Parisutham Nirmala^ORCID

Publisher

Elsevier BV

Reference39 articles.

1. Graph isomorphism, general remarks;Miller;J. Comput. Syst. Sci.,1979

2. Two metrics in a graph theory modeling of organic chemistry;Baláž;Discret. Appl. Math.,1992

3. Determining structural similarity of chemicals using graph-theoretic indices;Basak;Discret. Appl. Math. 19,1988

5. Dagmar Stumpfe, and Jurgen Bajorath. "Molecular similarity in medicinal chemistry: miniperspective.";Maggiora;J. Med. Chem.,2014

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1. The Impact of Centrality Measures in Protein–Protein Interaction Networks: Tools, Databases, Challenges and Future Directions;Journal of Computational Biophysics and Chemistry;2024-07-03

2. Deep Reach Centrality: An Innovative Network Centrality Metric Grounded in Distance and Degree, with Its Performance Analysis Applied to the SARS-CoV-2 Protein–protein Interaction Network;Lecture Notes in Networks and Systems;2024

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