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In this paper we propose an FFT-based algorithm to calculate ASP scores of protein complexes and develop an ASP-based protein-protein docking method (ASPDock).<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The ASPDock is first tested on the 21 complexes whose binding free energies have been determined experimentally. The results show that the calculated ASP scores have stronger correlation (r \u2248 0.69) with the binding free energies than the pure shape complementarity scores (r \u2248 0.48). The ASPDock is further tested on a large dataset, the benchmark 3.0, which contain 124 complexes and also shows better performance than pure shape complementarity method in docking prediction. Comparisons with other state-of-the-art docking algorithms showed that ASP score indeed gives higher success rate than the pure shape complementarity score of FTDock but lower success rate than Zdock3.0. We also developed a softly restricting method to add the information of predicted binding sites into our docking algorithm. The ASP-based docking method performed well in CAPRI rounds 18 and 19.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n ASP may be more accurate and physical than the pure shape complementarity in describing the feature of protein docking.<\/jats:p>\n <\/jats:sec>","DOI":"10.1186\/1471-2105-12-36","type":"journal-article","created":{"date-parts":[[2011,1,27]],"date-time":"2011-01-27T07:15:52Z","timestamp":1296112552000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["ASPDock: protein-protein docking algorithm using atomic solvation parameters model"],"prefix":"10.1186","volume":"12","author":[{"given":"Lin","family":"Li","sequence":"first","affiliation":[]},{"given":"Dachuan","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Yangyu","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Shiyong","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,1,27]]},"reference":[{"issue":"6","key":"4351_CR1","doi-asserted-by":"publisher","first-page":"2195","DOI":"10.1073\/pnas.89.6.2195","volume":"89","author":"E Katchalski-Katzir","year":"1992","unstructured":"Katchalski-Katzir E, Shariv I, Eisenstein M, Friesem A, Aflalo C, Vakser I: Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques. 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