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A protein exhibits its true nature after binding to its interacting molecule known as a ligand that binds only in the favorable binding site of the protein structure. Different computational methods exploiting the features of proteins have been developed to identify the binding sites in the protein structure, but none seems to provide promising results, and therefore, further investigation is required.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In this study, we present a deep learning model PUResNet and a novel data cleaning process based on structural similarity for predicting protein-ligand binding sites. From the whole scPDB (an annotated database of druggable binding sites extracted from the Protein DataBank) database, 5020 protein structures were selected to address this problem, which were used to train PUResNet. With this, we achieved better and justifiable performance than the existing methods while evaluating two independent sets using distance, volume and proportion metrics.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s13321-021-00547-7","type":"journal-article","created":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T04:03:03Z","timestamp":1631073783000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":120,"title":["PUResNet: prediction of protein-ligand binding sites using deep residual neural network"],"prefix":"10.1186","volume":"13","author":[{"given":"Jeevan","family":"Kandel","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hilal","family":"Tayara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1952-0001","authenticated-orcid":false,"given":"Kil To","family":"Chong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,9,8]]},"reference":[{"key":"547_CR1","volume-title":"Lehninger principles of biochemistry","author":"DL Nelson","year":"2005","unstructured":"Nelson DL (2005) Lehninger principles of biochemistry, 4th edn. 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