[PDF] Top 20 A New Algorithm for Protein-Protein Interaction Prediction
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A New Algorithm for Protein-Protein Interaction Prediction
... profiles, protein structure methods [23, 18, 39] use 3D structures of proteins to find docking areas, domain methods [6] employ conserved domain occurrences, network analysis methods [4] make prediction ... See full document
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An Effective Statistical Integrative Algorithm (Aeiapp) for Protein Prediction
... from protein-protein interaction (PPI) network is very crucial for developing drugs for diseases, treatment of diseases and to observe the cellular ...in protein-protein ... See full document
6
Prediction of Protein Structure using Parallel Genetic Algorithm
... In cross over transformation, the individual pieces of solution are completely swapped to give new solutions and their fitness is tested upon for results. After finishing crossover, the concept of mutation is ... See full document
5
FAC-PIN: An efficient and fast agglomerative clustering algorithm for protein interaction networks to predict protein complexes and functional modules
... this algorithm, Girvan and Newman introduced a new measure for clustering ...This algorithm follows divisive approach. The time complexity of GN algorithm is O(m 2 n) where m and n are the ... See full document
85
A binary matrix factorization algorithm for protein complex prediction
... our algorithm. A test interaction graph is constructed from a set of annotated complexes from the MIPS data- base [12] by linking the proteins in the same complex, and then altered by random edge additions ... See full document
8
Detecting Protein Complexes by an Improved Affinity Propagation Algorithm in Protein-Protein Interaction Networks
... GN algorithm, which find community structures in networks by removing the edges of the highest betweenness one by ...fast algorithm which getting the cluster result by maximize the modularity function Q ... See full document
8
Prediction of protein–protein interaction sites by means of ensemble learning and weighted feature descriptor
... Results: In this work, we presented an efficient approach that uses ensemble learning algorithm with weighted feature descriptor (EL-WFD) to predict protein–protein interaction sites. ... See full document
6
Identification of protein complexes from multi-relationship protein interaction networks
... multi-relationship protein interaction net- work by integrating PPI networks and GO annotation ...a new method for pre- dicting protein complexes, named MINE (based on Multi-relationship ... See full document
10
Prediction and analysis of protein-protein interaction types using short, linear motifs
... According to the authors, the input for QuasiMotiFinder should be multiply aligned ho- mologous query proteins in MSA format. If FASTA format is provided instead of the MSA, QuasiMotiFinder uses CLUSTALW to find the MSA ... See full document
162
Protein Function Prediction from Protein Interaction Network Using Clustering and Sequence of Amino Acid
... a protein onto its ...based algorithm that exploits the underlying structure of protein interaction maps in order to predict protein ...molecular interaction networks has made ... See full document
5
Predicting the Functions of Unknown Protein by Analyzing Known Protein Interaction: A survey
... RRW algorithm is one of the algorithm which is mainly used to Predicting the protein complex interaction in the network, which constantly expands an existing bunch of proteins in a “stagnant ... See full document
9
Prediction of crystal packing and biological protein-protein interactions with Linear Dimensionality Reduction-SVD
... In pattern recognition feature extraction is a special form of dimensionality reduction meth- ods. When the input features for a classification is too large to be processed and consists of redundant data then the input ... See full document
107
Applying Distributed Processing for Different Distance based Methods during Phylogenetic Tree Construction
... then new sequence will become the maximum credit sequence other wise previous sequence will remain the highest credit ...the prediction result and the result will be Heat Shock ...Human Protein ... See full document
11
An efficient heuristic method for active feature acquisition and its application to protein protein interaction prediction
... for prediction of protein-protein interactions, particularly for yeast and human, using machine learning approaches ...an algorithm to learn to model the relation between feature space and ... See full document
9
Prediction of protein-protein interaction types using machine learning approaches
... for prediction including physical features of interface area and interface area ratio, chemical features of hydrophobicity and amino acid composition, physicochemical features of solvent-accessible surface area ... See full document
215
Domain-Based Predictive Models for Protein-Protein Interaction Prediction
... predicting protein interactions us- ing domain information are developed and preliminary re- sults have demonstrated their feasibility [26, ...that protein-protein interactions are the results of ... See full document
8
Highly precise protein protein interaction prediction based on consensus between template based and de novo docking methods
... of protein tertiary structure prediction [15], and critical experiments have demonstrated improved performance of meta predic- tors when compared with the individual methods used in the meta ...in ... See full document
10
MULTI DIMENSION PROTEIN IMPACT MATRIX BASED PROTEIN SEQUENCE PREDICTION USING DATA MINING
... of new drugs, better crops, and even the development of synthetic biochemicals such as ...for protein function prediction are inherently low throughput and are thus unable to annotate a non-trivial ... See full document
8
Algorithmic approaches to protein-protein interaction site prediction
... in prediction soft- ware are also useful, with interface sites shown to be more disordered [38,140,141] yet also appearing to have lower B-factors than other surface patches ... See full document
21
Accuracy improvement in protein complex prediction from protein interaction networks by refining cluster overlaps
... We implemented the cluster overlap refinement approach to assess improvement on protein complex detection. We used as input the set of clusters produced by three clustering algorithms: CFinder, DPClus and the ... See full document
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