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Therefore, having physical models that can predict these openings is of interest. However, this source of information has not been used before either in transcription start sites (TSSs) or promoter prediction. In this article, one such model is used as an additional information source that, when used by a machine learning (ML) model, improves the results of current methods for the prediction of TSSs. In addition, we provide evidence on the validity of the physical model, as it is able by itself to predict TSSs with high accuracy. This opens an exciting avenue of research at the intersection of statistical mechanics and ML, where ML models in bioinformatics can be improved using physical models of DNA as feature extractors.<\/jats:p>","DOI":"10.1186\/s12859-022-05129-4","type":"journal-article","created":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T11:02:56Z","timestamp":1672398176000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Nonlinear physics opens a new paradigm for accurate transcription start site prediction"],"prefix":"10.1186","volume":"23","author":[{"given":"Jos\u00e9 Antonio","family":"Barbero-Aparicio","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Santiago","family":"Cuesta-Lopez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C\u00e9sar Ignacio","family":"Garc\u00eda-Osorio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"P\u00e9rez-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicol\u00e1s","family":"Garc\u00eda-Pedrajas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,30]]},"reference":[{"issue":"4356","key":"5129_CR1","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1038\/171737a0","volume":"171","author":"JD Watson","year":"1953","unstructured":"Watson JD, Crick FH. 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