2011年3月25日,《植物細(xì)胞》 The Plant Cell 在線發(fā)表了生命科學(xué)學(xué)院陳新課題組的原創(chuàng)性研究成果：擬南芥分子相互作用網(wǎng)絡(luò)預(yù)測數(shù)據(jù)庫及基于網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)的系統(tǒng)生物學(xué)分析方法。通過整合分子相互作用的多種側(cè)面證據(jù),，陳新課題組建立了目前最為全面的擬南芥分子相互作用網(wǎng)絡(luò),，可覆蓋24％的所有可能相互作用，單個預(yù)測相互作用的可靠性大于40％,。進(jìn)一步分析表明，盡管這一組預(yù)測相互作用的覆蓋面仍然有限,，但它們已經(jīng)能夠反映很多高級生命系統(tǒng)（生物途徑和生物過程）之間的關(guān)聯(lián),，可以支持生物途徑交互關(guān)系分析、基因功能預(yù)測,、尋找表達(dá)變化不顯著的關(guān)鍵調(diào)控基因等多種重要的系統(tǒng)生物學(xué)分析,。很多在該預(yù)測網(wǎng)絡(luò)發(fā)布后新發(fā)表的生物學(xué)關(guān)聯(lián)可以從這一預(yù)測網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)中發(fā)現(xiàn)。上述工作完全由陳新課題組在國內(nèi)實驗室完成,。
陳新課題組的核心研究方向是在分子相互作用網(wǎng)絡(luò)的層面上研究藥物多靶標(biāo)協(xié)同調(diào)控的理論,。目前正在進(jìn)行人類分子相互作用網(wǎng)絡(luò)的重建，以分析已知有效的多成分藥物協(xié)同作用產(chǎn)生治療效果的分子機(jī)制,。（生物谷Bioon.com）
生物谷推薦原文出處：
The Plant Cell doi: 10.1105/tpc.110.082529
The Predicted Arabidopsis Interactome Resource and Network Topology-Based Systems Biology Analyses.
Lin M, Zhou X, Shen X, Mao C, Chen X.
State Key Laboratory of Plant Physiology and Biochemistry, Zhejiang University, Hangzhou 310058, People's Republic of China.
Abstract
Predicted interactions are a valuable complement to experimentally reported interactions in molecular mechanism studies, particularly for higher organisms, for which reported experimental interactions represent only a small fraction of their total interactomes. With careful engineering consideration of the lessons from previous efforts, the Predicted Arabidopsis Interactome Resource (PAIR;http://www.cls.zju.edu.cn/pair/) presents 149,900 potential molecular interactions, which are expected to cover ~24% of the entire interactome with ~40% precision. This study demonstrates that, although PAIR still has limited coverage, it is rich enough to capture many significant functional linkages within and between higher-order biological systems, such as pathways and biological processes. These inferred interactions can nicely power several network topology-based systems biology analyses, such as gene set linkage analysis, protein function prediction, and identification of regulatory genes demonstrating insignificant expression changes. The drastically expanded molecular network in PAIR has considerably improved the capability of these analyses to integrate existing knowledge and suggest novel insights into the function and coordination of genes and gene networks.
