title: Protein-protein interaction detection: methods and analysis.
abstract: Protein-protein interaction plays key role in predicting the protein function of target protein and drug ability of molecules. The majority of genes and proteins realize resulting phenotype functions as a set of interactions. The in vitro and in vivo methods like affinity purification, Y2H (yeast 2 hybrid), TAP (tandem affinity purification), and so forth have their own limitations like cost, time, and so forth, and the resultant data sets are noisy and have more false positives to annotate the function of drug molecules. Thus, in silico methods which include sequence-based approaches, structure-based approaches, chromosome proximity, gene fusion, in silico 2 hybrid, phylogenetic tree, phylogenetic profile, and gene expression-based approaches were developed. Elucidation of protein interaction networks also contributes greatly to the analysis of signal transduction pathways. Recent developments have also led to the construction of networks having all the protein-protein interactions using computational methods for signaling pathways and protein complex identification in specific diseases.
authors.affiliation: Department of CSE, VR Siddhartha Engineering College, Vijayawada 520007, India.
authors.forename: V Srinivasa
authors.initials: VS
authors.lastname: Rao
authors.affiliation: Department of CSE, VR Siddhartha Engineering College, Vijayawada 520007, India.
authors.forename: K
authors.initials: K
authors.lastname: Srinivas
authors.affiliation: Department of CSE, Mahatma Gandhi Institute of Technology, Hyderabad 500075, India.
authors.forename: G N
authors.initials: GN
authors.lastname: Sujini
authors.affiliation: Department of CSE, VR Siddhartha Engineering College, Vijayawada 520007, India.
authors.forename: G N Sunand
authors.initials: GN
authors.lastname: Kumar