{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T14:12:09Z","timestamp":1769004729641,"version":"3.49.0"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,6,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Automatic procedures to obtain pharmacophore models from experimentally determined macromolecular complexes can help in the drug discovery process, especially when protein\u2013protein recognition plays an important biological role.<\/jats:p>\n               <jats:p>Results: The GRID-based pharmacophore model (GBPM) is a fully objective method for defining most relevant interaction areas in complexes deriving pharmacophore models from three-dimensional (3D) molecular structure information. It is based on logical and clustering operations with 3D maps computed by the GRID program on structurally known molecular complexes. In this manuscript we describe the concept and discuss application examples regarding protein\u2013protein recognition. In particular two complexes selected in the Protein Data Bank have been tested to evaluate the GBPM capability to identify interaction areas. The results obtained show the capabilities of this new bioinformatic method.<\/jats:p>\n               <jats:p>Availability: The GBPM method has not been developed as a new computational code. It is based on the combination of existing scientific programs.<\/jats:p>\n               <jats:p>Contact: \u00a0alcaro@unicz.it<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl115","type":"journal-article","created":{"date-parts":[[2006,3,28]],"date-time":"2006-03-28T01:24:35Z","timestamp":1143509075000},"page":"1449-1455","source":"Crossref","is-referenced-by-count":94,"title":["GBPM: GRID-based pharmacophore model: concept and application studies to protein\u2013protein recognition"],"prefix":"10.1093","volume":"22","author":[{"given":"Francesco","family":"Ortuso","sequence":"first","affiliation":[{"name":"Dipartimento di Scienze Farmacobiologiche Universit\u00e0 di Catanzaro \u2018Magna Gr\u00e6cia\u2019 1 \u00a0 1 \u00a0 \u00a0 Complesso Nin\u00ec Barbieri I-88021, Roccelletta di Borgia (CZ), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thierry","family":"Langer","sequence":"additional","affiliation":[{"name":"Institute of Pharmacy, Department of Pharmaceutical Chemistry 2 \u00a0 2 \u00a0 \u00a0 Innrain 52a, University of Innsbruck, A-6020 Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Alcaro","sequence":"additional","affiliation":[{"name":"Dipartimento di Scienze Farmacobiologiche Universit\u00e0 di Catanzaro \u2018Magna Gr\u00e6cia\u2019 1 \u00a0 1 \u00a0 \u00a0 Complesso Nin\u00ec Barbieri I-88021, Roccelletta di Borgia (CZ), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2006,3,27]]},"reference":[{"key":"2023012408415430600_b1","author":"Accelrys Inc.","year":"2003"},{"key":"2023012408415430600_b2","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.cbpa.2004.05.001","article-title":"High-throughput docking as a source of novel drug leads","volume":"8","author":"Alvarez","year":"2004","journal-title":"Curr. 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