{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T00:13:33Z","timestamp":1780704813164,"version":"3.54.1"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Membrane domain prediction has recently been re-evaluated by several groups, suggesting that the accuracy of existing methods is still rather limited. In this work, we revisit this problem and propose novel methods for prediction of alpha-helical as well as beta-sheet transmembrane (TM) domains. The new approach is based on a compact representation of an amino acid residue and its environment, which consists of predicted solvent accessibility and secondary structure of each amino acid. A recently introduced method for solvent accessibility prediction trained on a set of soluble proteins is used here to indicate segments of residues that are predicted not to be accessible to water and, therefore, may be \u2018buried\u2019 in the membrane. While evolutionary profiles in the form of a multiple alignment are used to derive these simple \u2018structural profiles\u2019, they are not used explicitly for the membrane domain prediction and the overall number of parameters in the model is significantly reduced. This offers the possibility of a more reliable estimation of the free parameters in the model with a limited number of experimentally resolved membrane protein structures.<\/jats:p>\n               <jats:p>Results: Using cross-validated training on available sets of structurally resolved and non-redundant alpha and beta membrane proteins, we demonstrate that membrane domain prediction methods based on such a compact representation outperform approaches that utilize explicitly evolutionary profiles and multiple alignments. Moreover, using an external evaluation by the TMH Benchmark server we show that our final prediction protocol for the TM helix prediction is competitive with the state-of-the-art methods, achieving per-residue accuracy of \u223c89% and per-segment accuracy of \u223c80% on the set of high resolution structures used by the TMH Benchmark server. At the same time the observed rates of confusion with signal peptides and globular proteins are the lowest among the tested methods. The new method is available online at .<\/jats:p>\n               <jats:p>Contact: \u00a0jmeller@chmcc.org<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online and at<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti784","type":"journal-article","created":{"date-parts":[[2005,11,18]],"date-time":"2005-11-18T01:24:24Z","timestamp":1132277064000},"page":"303-309","source":"Crossref","is-referenced-by-count":76,"title":["Enhanced recognition of protein transmembrane domains with prediction-based structural profiles"],"prefix":"10.1093","volume":"22","author":[{"given":"Baoqiang","family":"Cao","sequence":"first","affiliation":[{"name":"Department of Physics, University of Cincinnati 2 \u00a0 2 \u00a0 \u00a0 Cincinnati, OH 45221, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksey","family":"Porollo","sequence":"additional","affiliation":[{"name":"Biomedical Informatics, Children's Hospital Research Foundation 1 \u00a0 1 \u00a0 \u00a0 Cincinnati, OH 45229, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafal","family":"Adamczak","sequence":"additional","affiliation":[{"name":"Biomedical Informatics, Children's Hospital Research Foundation 1 \u00a0 1 \u00a0 \u00a0 Cincinnati, OH 45229, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Jarrell","sequence":"additional","affiliation":[{"name":"Department of Physics, University of Cincinnati 2 \u00a0 2 \u00a0 \u00a0 Cincinnati, OH 45221, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaroslaw","family":"Meller","sequence":"additional","affiliation":[{"name":"Biomedical Informatics, Children's Hospital Research Foundation 1 \u00a0 1 \u00a0 \u00a0 Cincinnati, OH 45229, USA"},{"name":"Department of Informatics, Nicholas Copernicus University 3 \u00a0 3 \u00a0 \u00a0 87-100 Torun, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2005,11,17]]},"reference":[{"key":"2023012408322755200_b1","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1002\/prot.20176","article-title":"Accurate prediction of solvent accessibility using neural networks-based regression","volume":"56","author":"Adamczak","year":"2004","journal-title":"Proteins"},{"key":"2023012408322755200_b2","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1002\/prot.20441","article-title":"Combining prediction of secondary structures and solvent accessibility in proteins","volume":"59","author":"Adamczak","year":"2005","journal-title":"Proteins"},{"key":"2023012408322755200_b3","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","article-title":"Gapped BLAST and PSI-BLAST: a new generation of protein database search programs","volume":"25","author":"Altschul","year":"1997","journal-title":"Nucleic Acids Res."},{"key":"2023012408322755200_b4","doi-asserted-by":"crossref","first-page":"2566","DOI":"10.1093\/nar\/gkh580","article-title":"Predicting transmembrane beta-barrels in proteomes","volume":"32","author":"Bigelow","year":"2004","journal-title":"Nucleic Acids Res."},{"key":"2023012408322755200_b5","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1110\/ps.0223603","article-title":"Fishing new proteins in the twilight zone of genomes: the test case of outer membrane proteins in Escherichia coli K12, Escherichia coli O157:H7, and other Gram-negative bacteria","volume":"12","author":"Casadio","year":"2003","journal-title":"Protein Sci."},{"key":"2023012408322755200_b6","first-page":"21","article-title":"State-of-the-art in membrane protein prediction","volume":"1","author":"Chen","year":"2002","journal-title":"Appl. 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