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Previously, we proposed a ridge-detection-based algorithm RDb<jats:sub>2<\/jats:sub>C that adopted a multi-stage random forest framework to predict the \u03b2-\u03b2 pairing given the amino acid sequence of a protein.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this work, we developed a second version of this algorithm, RDb<jats:sub>2<\/jats:sub>C2, by employing the residual neural network to further enhance the prediction accuracy. In the benchmark test, this new algorithm improves the F1-score by &gt;\u200910 percentage points, reaching impressively high values of ~\u200972% and ~\u200973% in the BetaSheet916 and BetaSheet1452 sets, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our new method promotes the prediction accuracy of \u03b2-\u03b2 pairing to a new level and the prediction results could better assist the structure modeling of mainly \u03b2 proteins. We prepared an online server of RDb<jats:sub>2<\/jats:sub>C2 at<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/structpred.life.tsinghua.edu.cn\/rdb2c.html\">http:\/\/structpred.life.tsinghua.edu.cn\/rdb2c2.html<\/jats:ext-link>.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12859-020-3476-z","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T14:02:49Z","timestamp":1585922569000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RDb2C2: an improved method to identify the residue-residue pairing in \u03b2 strands"],"prefix":"10.1186","volume":"21","author":[{"given":"Di","family":"Shao","sequence":"first","affiliation":[]},{"given":"Wenzhi","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Yaoguang","family":"Xing","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5532-1640","authenticated-orcid":false,"given":"Haipeng","family":"Gong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,3]]},"reference":[{"issue":"S1","key":"3476_CR1","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1002\/prot.25020","volume":"84","author":"LN Kinch","year":"2016","unstructured":"Kinch LN, Li W, Monastyrskyy B, Kryshtafovych A, Grishin NV. 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