{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T00:50:47Z","timestamp":1780361447780,"version":"3.54.1"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T00:00:00Z","timestamp":1666137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Bioinform."],"abstract":"<jats:p>Protein Structure Networks (PSNs) are a well-known mathematical model for estimation and analysis of the three-dimensional protein structure. Investigating the topological architecture of PSNs may help identify the crucial amino acid residues for protein stability and protein-protein interactions, as well as deduce any possible mutational effects. But because proteins go through conformational changes to give rise to essential biological functions, this has to be done dynamically over time. The most effective method to describe protein dynamics is molecular dynamics simulation, with the most popular software programs for manipulating simulations to infer interaction networks being RING, MD-TASK, and NAPS. Here, we compare the computational approaches used by these three tools\u2014all of which are accessible as web servers\u2014to understand the pathogenicity of missense mutations and talk about their potential applications as well as their advantages and disadvantages.<\/jats:p>","DOI":"10.3389\/fbinf.2022.1045368","type":"journal-article","created":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T17:48:36Z","timestamp":1666201716000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Connecting the dots: A practical evaluation of web-tools for describing protein dynamics as networks"],"prefix":"10.3389","volume":"2","author":[{"given":"Francesco","family":"Petrizzelli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tommaso","family":"Biagini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salvatore Daniele","family":"Bianco","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niccol\u00f2","family":"Liorni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Napoli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Castellana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tommaso","family":"Mazza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,10,19]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"5059","DOI":"10.1016\/j.csbj.2021.08.043","article-title":"MDM-TASK-Web: MD-TASK and MODE-TASK web server for analyzing protein dynamics","volume":"19","author":"Amamuddy","year":"2021","journal-title":"Comput. 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