{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:16:53Z","timestamp":1743113813892,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030190927"},{"type":"electronic","value":"9783030190934"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-19093-4_18","type":"book-chapter","created":{"date-parts":[[2019,5,7]],"date-time":"2019-05-07T16:14:20Z","timestamp":1557245660000},"page":"233-247","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Approach for Fast Protein Structure Comparison and Heuristic Structure Database Searching Based on Residue EigenRank Scores"],"prefix":"10.1007","author":[{"given":"Florian","family":"Heinke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Hempel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Labudde","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,27]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/S0022-2836(05)80360-2","volume":"215","author":"SF Altschul","year":"1990","unstructured":"Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. J. Mol. Biol. 215, 403\u2013410 (1990). https:\/\/doi.org\/10.1016\/S0022-2836(05)80360-2","journal-title":"J. Mol. Biol."},{"key":"18_CR2","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","volume":"25","author":"SF Altschul","year":"1997","unstructured":"Altschul, S.F., et al.: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25, 3389\u20133402 (1997)","journal-title":"Nucleic Acids Res."},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.eswa.2018.07.069","volume":"115","author":"SMH Bamakan","year":"2019","unstructured":"Bamakan, S.M.H., Nurgaliev, I., Qu, Q.: Opinion leader detection: a methodological review. Expert Syst. Appl. 115, 200\u2013222 (2019). https:\/\/doi.org\/10.1016\/j.eswa.2018.07.069. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417418304950","journal-title":"Expert Syst. Appl."},{"key":"18_CR4","doi-asserted-by":"publisher","unstructured":"wwPDB consortium: Protein Data Bank: the single global archive for 3D macromolecular structure data. Nucleic Acids Research, October 2018. https:\/\/doi.org\/10.1093\/nar\/gky949","DOI":"10.1093\/nar\/gky949"},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1093\/bioinformatics\/btp712","volume":"26","author":"K Frank","year":"2010","unstructured":"Frank, K., Gruber, M., Sippl, M.J.: COPS benchmark: interactive analysis of database search methods. Bioinformatics 26, 574\u2013575 (2010). https:\/\/doi.org\/10.1093\/bioinformatics\/btp712. (Oxford, England)","journal-title":"Bioinformatics"},{"issue":"5","key":"18_CR6","doi-asserted-by":"publisher","first-page":"922","DOI":"10.1107\/S0567739476001873","volume":"32","author":"W Kabsch","year":"1976","unstructured":"Kabsch, W.: A solution for the best rotation to relate two sets of vectors. Acta Crystallogr. Sect. A 32(5), 922\u2013923 (1976). https:\/\/doi.org\/10.1107\/S0567739476001873","journal-title":"Acta Crystallogr. Sect. A"},{"issue":"Supplement C","key":"18_CR7","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.physa.2014.02.041","volume":"404","author":"Q Li","year":"2014","unstructured":"Li, Q., Zhou, T., L\u00fc, L., Chen, D.: Identifying influential spreaders by weighted LeaderRank. Phys. A Stat. Mech. Appl. 404(Supplement C), 47\u201355 (2014). https:\/\/doi.org\/10.1016\/j.physa.2014.02.041","journal-title":"Phys. A Stat. Mech. Appl."},{"issue":"6","key":"18_CR8","doi-asserted-by":"publisher","first-page":"e21202","DOI":"10.1371\/journal.pone.0021202","volume":"6","author":"L L\u00fc","year":"2011","unstructured":"L\u00fc, L., Zhang, Y.C., Yeung, C.H., Zhou, T.: Leaders in social networks, the delicious case. PloS One 6(6), e21202 (2011). https:\/\/doi.org\/10.1371\/journal.pone.0021202","journal-title":"PloS One"},{"key":"18_CR9","series-title":"Computational Biology","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98839-9","volume-title":"Scalable Big Data Analytics for Protein Bioinformatics","author":"D Mrozek","year":"2018","unstructured":"Mrozek, D.: Scalable Big Data Analytics for Protein Bioinformatics. CB, vol. 28. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-98839-9"},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/0022-2836(70)90057-4","volume":"48","author":"SB Needleman","year":"1970","unstructured":"Needleman, S.B., Wunsch, C.D.: A general method applicable to the search for similarities in the amino acid sequence of two proteins. J. Mol. Biol. 48, 443\u2013453 (1970)","journal-title":"J. Mol. Biol."},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"2444","DOI":"10.1073\/pnas.85.8.2444","volume":"85","author":"WR Pearson","year":"1988","unstructured":"Pearson, W.R., Lipman, D.J.: Improved tools for biological sequence comparison. Proc. Nat. Acad. Sci. U.S.A. 85, 2444\u20132448 (1988)","journal-title":"Proc. Nat. Acad. Sci. U.S.A."},{"key":"18_CR12","doi-asserted-by":"publisher","first-page":"2693","DOI":"10.1093\/bioinformatics\/bts494","volume":"28","author":"A Prlic","year":"2012","unstructured":"Prlic, A., et al.: BioJava: an open-source framework for bioinformatics in 2012. Bioinformatics 28, 2693\u20132695 (2012). https:\/\/doi.org\/10.1093\/bioinformatics\/bts494. (Oxford, England)","journal-title":"Bioinformatics"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"2240","DOI":"10.1093\/nar\/gkn065","volume":"36","author":"RI Sadreyev","year":"2008","unstructured":"Sadreyev, R.I., Grishin, N.V.: Accurate statistical model of comparison between multiple sequence alignments. Nucleic Acids Res. 36, 2240\u20132248 (2008). https:\/\/doi.org\/10.1093\/nar\/gkn065","journal-title":"Nucleic Acids Res."},{"key":"18_CR14","volume-title":"Principles of Protein Structure","author":"GE Schulz","year":"1984","unstructured":"Schulz, G.E., Schirmer, R.H.: Principles of Protein Structure, 5th edn. Springer, New York (1984)","edition":"5"},{"key":"18_CR15","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1093\/protein\/11.9.739","volume":"11","author":"IN Shindyalov","year":"1998","unstructured":"Shindyalov, I.N., Bourne, P.E.: Protein structure alignment by incremental combinatorial extension (CE) of the optimal path. Protein Eng. 11, 739\u2013747 (1998)","journal-title":"Protein Eng."},{"issue":"1","key":"18_CR16","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/0022-2836(81)90087-5","volume":"147","author":"T Smith","year":"1981","unstructured":"Smith, T., Waterman, M.: Identification of common molecular subsequences. J. Mol. Biol. 147(1), 195\u2013197 (1981). https:\/\/doi.org\/10.1016\/0022-2836(81)90087-5. http:\/\/www.sciencedirect.com\/science\/article\/pii\/0022283681900875","journal-title":"J. Mol. Biol."},{"issue":"7","key":"18_CR17","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1093\/bioinformatics\/bti125","volume":"21","author":"J Soeding","year":"2005","unstructured":"Soeding, J.: Protein homology detection by HMM-HMM comparison. Bioinformatics 21(7), 951\u2013960 (2005). https:\/\/doi.org\/10.1093\/bioinformatics\/bti125","journal-title":"Bioinformatics"},{"key":"18_CR18","unstructured":"Spranger, M., Becker, S., Heinke, F., Siewerts, H., Labudde, D.: The infiltration game: artificial immune system for the exploitation of crime relevant information in social networks. In: Proceedings of Seventh International Conference on Advances in Information Management and Mining (IMMM), pp. 24\u201327. IARIA. ThinkMind Library (2017)"},{"key":"18_CR19","doi-asserted-by":"publisher","first-page":"W539","DOI":"10.1093\/nar\/gkp411","volume":"37","author":"SJ Suhrer","year":"2009","unstructured":"Suhrer, S.J., Wiederstein, M., Gruber, M., Sippl, M.J.: COPS - A novel workbench for explorations in fold space. Nucleic Acids Res. 37, W539\u2013W544 (2009). https:\/\/doi.org\/10.1093\/nar\/gkp411","journal-title":"Nucleic Acids Res."},{"issue":"1","key":"18_CR20","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.chembiol.2011.12.013","volume":"19","author":"S Surade","year":"2012","unstructured":"Surade, S., Blundell, T.L.: Structural biology and drug discovery of difficult targets: the limits of ligandability. Chem. Biol. 19(1), 42\u201350 (2012). https:\/\/doi.org\/10.1016\/j.chembiol.2011.12.013","journal-title":"Chem. Biol."},{"issue":"Suppl 2","key":"18_CR21","doi-asserted-by":"publisher","first-page":"ii246","DOI":"10.1093\/bioinformatics\/btg1086","volume":"19","author":"Y Ye","year":"2003","unstructured":"Ye, Y., Godzik, A.: Flexible structure alignment by chaining aligned fragment pairs allowing twists. Bioinformatics 19(Suppl 2), ii246\u2013ii255 (2003). (Oxford, England)","journal-title":"Bioinformatics"},{"issue":"13","key":"18_CR22","doi-asserted-by":"publisher","first-page":"3370","DOI":"10.1093\/nar\/gkg571","volume":"31","author":"A Zemla","year":"2003","unstructured":"Zemla, A.: LGA: a method for finding 3D similarities in protein structures. Nucleic Acids Res. 31(13), 3370\u20133374 (2003). https:\/\/doi.org\/10.1093\/nar\/gkg571","journal-title":"Nucleic Acids Res."},{"key":"18_CR23","doi-asserted-by":"publisher","first-page":"2302","DOI":"10.1093\/nar\/gki524","volume":"33","author":"Y Zhang","year":"2005","unstructured":"Zhang, Y., Skolnick, J.: TM-align: a protein structure alignment algorithm based on the TM-score. Nucleic Acids Res, 33, 2302\u20132309 (2005). https:\/\/doi.org\/10.1093\/nar\/gki524","journal-title":"Nucleic Acids Res,"}],"container-title":["Communications in Computer and Information Science","Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19093-4_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T15:27:11Z","timestamp":1710343631000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-19093-4_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030190927","9783030190934"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19093-4_18","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"27 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference: Beyond Databases, Architectures and Structures","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ustro\u0144","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bdas2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bdas.polsl.pl","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"bdas.polsl.pl","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,76","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}