1 / 1

Function Prediction of Protein Complexes with Domain Correlation Ya Zhang Xue-Wen Chen

C1. C2. C3. M1. M2. Function Prediction of Protein Complexes with Domain Correlation Ya Zhang Xue-Wen Chen University of Kansas. Introduction Protein complexes: g roups of proteins that interact/associate with each other. Many molecular machineries are protein complexes

Download Presentation

Function Prediction of Protein Complexes with Domain Correlation Ya Zhang Xue-Wen Chen

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. C1 C2 C3 M1 M2 Function Prediction of Protein Complexes with Domain Correlation Ya Zhang Xue-Wen Chen University of Kansas Introduction • Protein complexes: groups of proteins that interact/associate with each other. • Many molecular machineries are protein complexes • e.g., proteasome, responsible for degradation of unwanted proteins, consists of more than 50 proteins Method • Domain functional modules • Set of domains that perform some elementary functions in protein complexes. • Extensively shared among protein complexes. Discover domain functional modules • Support of a set of domains X={d1, d2, .., dk}, is the fraction of protein complexes containing X. supp(X)=NX/N • H-confidence of X is: hconf(X)=supp(X)/maxi(supp(pi)) • A set of domains X ={d1, d2, .., dk} is a hyperclique pattern if hconf(X) ≥ hc and supp(X) ≥ s. Protein Complexes (Higher order functions) Domain Functional Modules (Elementary functions) • Understanding the composition and function of protein complexes is an important research focus in biological science. • The modules indicate the functions of the corresponding protein complexes. High-throughput Protein Complexes • High-throughput experiments have produced a large amount of protein complex data. • Gavin, et al. (Nature, 2002) • TAP : Tandem Affinity Purification • Ho, et al. (Nature, 2002) • HMS-PCI: High-throughput Mass Spectromic Protein Complex Identification • But the biological functions of the protein complexes are largely unknown. Results: hypercliques Discover domain functional modules • Discover domain functional modules as cliques in domain-domain network • Two criteria • Frequency of occurrence • Correlation / association Domain-domain network Nodes: domains Edges: shared membership • Identify domain functional modules as hyperclique patterns (Xiong et al. 2005). Motivation • Previous efforts in analyzing protein complex data were largely based on the protein constitution of the complexes. • Studying complexes at protein level does not always reveal the function linkage among complexes. • The cytoplasmic ribosomal large subunit vs. the mitochondrial ribosomal large subunit • In this study, we analyze the domain composition of protein complexes to predict the functions of protein complexes. Results: function prediction • The cytoplasmic ribosomal large subunit vs. the mitochondrial ribosomal large subunit: • Both function for protein synthesis • Share no single protein but 14 domains

More Related