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In this study, we developed a computational framework to build molecular connectivity maps by integrating mutated and differentially expressed genes of neurological and psychiatric diseases to determine its relationship with aging.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>The systematic large-scale analyses of 124 human diseases create three classes of molecular connectivity maps. <jats:italic>First<\/jats:italic>, molecular interaction of disease protein network generates 3632 proteins with 6172 interactions, which determines the common genes\/proteins between diseases. <jats:italic>Second<\/jats:italic>, Disease-disease network includes 4845 positively scored disease-disease relationships. The comparison of these disease-disease pairs with Medical Subject Headings (MeSH) classification tree suggests 25% of the disease-disease pairs were in same disease area. The remaining can be a novel disease-disease relationship based on gene\/protein similarity. Inclusion of aging genes set showed 79 neurological and 20 psychiatric diseases have the strong association with aging. <jats:italic>Third<\/jats:italic>\n              <jats:italic>and lastly<\/jats:italic>, a curated disease biomarker network was created by relating the proteins\/genes in specific disease contexts, such analysis showed 73 markers for 24 diseases. Further, the overall quality of the results was achieved by a series of statistical methods, to avoid insignificant data in biological networks.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>This study improves the understanding of the complex interactions that occur between neurological and psychiatric diseases with aging, which lead to determine the diagnostic markers. Also, the disease-disease association results could be helpful to determine the symptom relationships between neurological and psychiatric diseases. Together, our study presents many research opportunities in post-genomic biomarkers development.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1752-0509-5-6","type":"journal-article","created":{"date-parts":[[2011,1,19]],"date-time":"2011-01-19T11:07:51Z","timestamp":1295435271000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Systems biological approach on neurological disorders: a novel molecular connectivity to aging and psychiatric diseases"],"prefix":"10.1186","volume":"5","author":[{"given":"Shiek SSJ","family":"Ahmed","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdul R","family":"Ahameethunisa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Winkins","family":"Santosh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srinivasa","family":"Chakravarthy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suresh","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2011,1,12]]},"reference":[{"key":"596_CR1","doi-asserted-by":"publisher","first-page":"e8593","DOI":"10.1371\/journal.pone.0008593","volume":"5","author":"T Hasegawa","year":"2010","unstructured":"Hasegawa T, Mikoda N, Kitazawa M, LaFerla FM: Treatment of Alzheimer's disease with anti-homocysteic acid antibody in 3xTg-AD male mice. 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