{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T13:57:01Z","timestamp":1761487021556},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,8,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Most scoring functions used in protein fold recognition employ two-body (pseudo) potential energies. The use of higher-order terms may improve the performance of current algorithms.<\/jats:p>\n               <jats:p>Methods: Proteins are represented by the side chain centroids of amino acids. Delaunay tessellation of this representation defines all sets of nearest neighbor quadruplets of amino acids. Four-body contact scoring function (log likelihoods of residue quadruplet compositions) is derived by the analysis of a diverse set of proteins with known structures. A test protein is characterized by the total score calculated as the sum of the individual log likelihoods of composing amino acid quadruplets.<\/jats:p>\n               <jats:p>Results: The scoring function distinguishes native from partially unfolded or deliberately misfolded structures. It also discriminates between pre- and post-transition state and native structures in the folding simulations trajectory of Chymotrypsin Inhibitor 2 (CI2).<\/jats:p>\n               <jats:p>Availability: All codes are written in C\/C++. Programs are available from the authors on request..<\/jats:p>\n               <jats:p>Contact: alex_tropsha@unc.edu<\/jats:p>\n               <jats:p>* To whom correspondence should be addressed.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg186","type":"journal-article","created":{"date-parts":[[2003,8,11]],"date-time":"2003-08-11T18:07:26Z","timestamp":1060625246000},"page":"1540-1548","source":"Crossref","is-referenced-by-count":83,"title":["Development of a four-body statistical pseudo-potential \nto discriminate native from non-native protein conformations"],"prefix":"10.1093","volume":"19","author":[{"given":"Bala","family":"Krishnamoorthy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Tropsha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2003,8,12]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/12\/1540\/48904624\/bioinformatics_19_12_1540.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/12\/1540\/48904624\/bioinformatics_19_12_1540.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T17:25:17Z","timestamp":1674667517000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/12\/1540\/257783"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,8,12]]},"references-count":0,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2003,8,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg186","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,8,12]]},"published":{"date-parts":[[2003,8,12]]}}}