{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:58:20Z","timestamp":1778828300796,"version":"3.51.4"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T00:00:00Z","timestamp":1686873600000},"content-version":"vor","delay-in-days":15,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R24 GM137787"],"award-info":[{"award-number":["R24 GM137787"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01 GM132859"],"award-info":[{"award-number":["R01 GM132859"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Low-affinity interactions among multivalent biomolecules may lead to the formation of molecular complexes that undergo phase transitions to become supply-limited large clusters. In stochastic simulations, such clusters display a wide range of sizes and compositions. We have developed a Python package, MolClustPy, which performs multiple stochastic simulation runs using NFsim (Network-Free stochastic simulator); MolClustPy characterizes and visualizes the distribution of cluster sizes, molecular composition, and bonds across molecular clusters. The statistical analysis offered by MolClustPy is readily applicable to other stochastic simulation software, such as SpringSaLaD and ReaDDy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The software is implemented in Python. A detailed Jupyter notebook is provided to enable convenient running. Code, user guide, and examples are freely available at https:\/\/molclustpy.github.io\/<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad385","type":"journal-article","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T00:51:59Z","timestamp":1686790319000},"source":"Crossref","is-referenced-by-count":2,"title":["MolClustPy: a Python package to characterize multivalent biomolecular clusters"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7105-6621","authenticated-orcid":false,"given":"Aniruddha","family":"Chattaraj","sequence":"first","affiliation":[{"name":"R. D. Berlin Center for Cell Analysis and Modeling, University of Connecticut School of Medicine , Farmington, CT 06030, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Indivar","family":"Nalagandla","sequence":"additional","affiliation":[{"name":"R. D. 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