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Protein-Protein Interaction Prediction (PPIP) analysis

NOXclass: prediction of protein-protein interaction types

NOXclass: prediction of protein-protein interaction types

... identifying protein-protein interaction ...predicting interaction sites ...in protein interaction sites based on hydrophobicity ...the protein surface ...predict ...

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Prediction and analysis of protein-protein interaction types using short, linear motifs

Prediction and analysis of protein-protein interaction types using short, linear motifs

... Davey et al. [11] described the SLiMSearch tool for searching minimotifs for a given protein sequence set. Tools such as ELM, MnM, SIRW, ScanProsite and QuasiMotifFinder are well-known for motif search, but ...

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Structure-based algorithms for protein-protein interaction prediction

Structure-based algorithms for protein-protein interaction prediction

... given protein, using a homology modeling approach ...structure-based prediction algorithm ...for protein complexes that have high sequence similarity to known structures ...for prediction of ...

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Structure-based prediction of protein-protein interaction sites

Structure-based prediction of protein-protein interaction sites

... of protein-protein and domain-domain interfaces In this section we present a list of databases and server providing protein-protein and domain-domain interface residues, that have been updated ...

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Algorithmic approaches to protein-protein interaction site prediction

Algorithmic approaches to protein-protein interaction site prediction

... Abstract Interaction sites on protein surfaces mediate virtually all biological activities, and their identification holds promise for disease treatment and drug ...the prediction of these sites have ...

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Prediction and characterization of protein-protein interaction networks in swine

Prediction and characterization of protein-protein interaction networks in swine

... the analysis only relates to domains with five or more putative ...of protein interactions are excluded ...establishing interaction maps using about 730 species and ...

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Analysis and prediction of protein-protein interactions

Analysis and prediction of protein-protein interactions

... two interaction distances could be overlayed. The long-range interaction distance scores could be a dampened score of the short-range ...larger interaction area, including longer-range interactions ...

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FunPred-1: Protein function prediction from a protein interaction network using neighborhood analysis

FunPred-1: Protein function prediction from a protein interaction network using neighborhood analysis

... the protein of interest, then exclusion of non-essential neighbors may reduce the time of ...A protein may have many neighbors from different functional ...

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Protein-protein interface: database, analysis and prediction

Protein-protein interface: database, analysis and prediction

... of protein-protein interaction have been developed in recent ...of interaction partner or network with data deduced from high-throughput experiments or literature reports, ...of protein ...

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Structure-based Prediction of Protein-protein Interaction Networks across Proteomes

Structure-based Prediction of Protein-protein Interaction Networks across Proteomes

... that protein models represent the most challenging targets for molecular ...The analysis of the linear regression model used by eRank PPI to rank hetero-dimers shows that the optimized weights for the SVC ...

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Prediction of protein-protein interaction types using machine learning approaches

Prediction of protein-protein interaction types using machine learning approaches

... in prediction performance from previous ...for analysis of long-range interactions (ranging from 5 ˚ A to 13 ˚ A), and feature selection algorithms for identifying rel- evant physicochemical properties of ...

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Genome-wide Protein-chemical Interaction Prediction

Genome-wide Protein-chemical Interaction Prediction

... available protein-chemical interaction data in order to construct a large drug- target matrix that was as accurate as ...connect protein vertices if they both bind with one or more of the same ...698 ...

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Prediction of protein motions from amino acid sequence and its application to protein-protein interaction

Prediction of protein motions from amino acid sequence and its application to protein-protein interaction

... Model Analysis (NMA) can derive these two motions, but its application remains limited because it necessitates the gathering of complete structural ...of protein motions in ordered structures. The ...

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DIFFERENT APPROACHES FOR STUDYING PROTEIN PROTEIN INTERACTION AND ANALYSIS

DIFFERENT APPROACHES FOR STUDYING PROTEIN PROTEIN INTERACTION AND ANALYSIS

... in protein and protein networking databases gives the first insight to study such macromolecular interactions paving the way for their in-vitro and in-vivo ...the protein-protein ...

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Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression

Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression

... predict protein-protein interactions (PPIs). Analysis of strengths of PPIs is also important because such strengths are involved in functionality of ...from protein pairs using protein ...

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Prediction of protein-protein interaction types using association rule based classification

Prediction of protein-protein interaction types using association rule based classification

... comparative analysis of association rules was presented for ...parative analysis of rules between different PPI types as we inferred the possibility of subtypes and relative information by comparison of ...

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BIPS: BIANA Interolog Prediction Server. A tool for protein-protein interaction inference

BIPS: BIANA Interolog Prediction Server. A tool for protein-protein interaction inference

... The prediction of the interaction between the homologs of two interacting proteins is defined as interolog (conservation of ...the analysis of a single protein pair at any submission ...Network ...

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Functional classification of proteins for the prediction of cellular function from a protein protein interaction network

Functional classification of proteins for the prediction of cellular function from a protein protein interaction network

... [14]. Classification method Only proteins involved in at least three binary interactions were selected for further classification. Taking into account that the existence of false-positive and false-negative interac- ...

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Human protein-protein interaction prediction

Human protein-protein interaction prediction

... Figure 7.4 shows the average Quality Score for a protein against the actual accuracy of the secondary structure prediction measured using the Q3 score, where the Q3 score is the proporti[r] ...

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A New Algorithm for Protein-Protein Interaction Prediction

A New Algorithm for Protein-Protein Interaction Prediction

... Similarly with the methods mentioned in 2.5.1 and 2.5.3, SVMs are used for classifying new pairs of proteins into interacting or non-interacting sets. Each amino acid in a protein sequence is represented as ...

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