[PDF] Top 20 Domain-Based Predictive Models for Protein-Protein Interaction Prediction
Has 10000 "Domain-Based Predictive Models for Protein-Protein Interaction Prediction" found on our website. Below are the top 20 most common "Domain-Based Predictive Models for Protein-Protein Interaction Prediction".
Domain-Based Predictive Models for Protein-Protein Interaction Prediction
... each protein. Often, protein domains are structurally conserved among di ff erent families of ...understanding protein interactions at the domain level gives detailed func- tional insights onto ... See full document
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Comparison of domain and hydrophobicity features for the prediction of protein-protein interactions using support vector machines
... The prediction approach reported in this paper generates a binary decision regarding potential protein-protein interactions based on the domain structure or hydrophobicity properties of ... See full document
7
Support vector machines for predicting protein-protein interactions using domains and hydrophobicity features
... study protein-protein interactions to understand proteins ...computational prediction of protein-protein interactions based on sequence information are becoming increasingly ... See full document
5
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
An efficient heuristic method for active feature acquisition and its application to protein protein interaction prediction
... PPI prediction, it would be desirable that those experiments be carried out which when used in training the classifier, the accuracy of the classifier is improved the ...(i.e. protein and experi- ment ... See full document
9
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction
... pair-wise protein interac- ...computational prediction systems beyond the protein pair-wise interaction approach, ...the predictive limits of genomic data integra- ... See full document
7
Prediction and analysis of protein-protein interaction types using short, linear motifs
... identification, prediction, and analysis of PPIs are important problems in molecular ...(laboratory based experiments) to this problem are labor intensive and time ...a protein sequence is retrieved ... See full document
162
Machine Learning based Protein Sequence to (un)Structure Mapping and Interaction Prediction
... of protein residues, a useful structural property that defines protein’s exposure to partners, using regularized regression with 3 rd -degree polynomial kernel function and genetic ...of protein residues by ... See full document
229
IDDI: integrated domain-domain interaction and protein interaction analysis system
... Low based on the prediction overlap indexes (POIs) of the predicted DDI ...each prediction method of the datasets, so it is impossible to compare reliabil- ities between DDIs predicted in the same ... See full document
9
Binding Affinity Prediction Of SCA Using PLD And PMLD With Functional DNN And Its Variants
... utilizing protein arrangements and topological ...the models built for affinity prediction are constructed with known ...like protein-ligand, protein-protein ...affinity ... See full document
7
Prediction of protein-protein interaction types using machine learning approaches
... a domain-based approach which uses CATH- Class, Architec- ture, Topology and Homologous superfamily- domain information to predict obligate and non-obligate protein-protein ...the ... See full document
215
Mutual information and variants for protein domain domain contact prediction
... ring protein-protein interactions across species based on sequence homology has a low level of accuracy, requir- ing a sequence identity of far higher than 70% ...previous ... See full document
14
Algorithmic approaches to protein-protein interaction site prediction
... intrinsically more predictable, as evidenced by higher scores across all predictors; others achieve better results only on certain types of predictors (e.g. DB3-188 on struc- tural homology-based predictors). To ... See full document
21
A label-free electrochemical protein sensor of perchloric acid doped polyaniline
... Protein-protein interaction based biomarker was based on a domain-domain interaction network flow model to identify signaling pathways from ... See full document
12
How Good Are Simplified Models for Protein Structure Prediction?
... structure prediction (PSP) has been one of the most challenging problems in computational biology for several ...energy models that consider interaction potentials only between the amino acid ... See full document
10
A bayesian kernel for the prediction of protein-protein interactions
... The Bayesian kernel was developed based on the Bayes’ Rule. The performance results of the Bayesian kernel outperformed most of the cited related work with ROC score of 0.8670. However, the comparison with some ... See full document
6
Open source tool for prediction of genome wide protein-protein interaction network based on ortholog information
... Orthology resources typically employ all-versus-all BLASTP analysis (Washington University, http://blast. wustl.edu), followed by some form of clustering (Jaccard clustering, bidirectional best hit clustering; [25]). ... See full document
6
Identification of protein complexes from multi-relationship protein interaction networks
... identification protein com- plexes are still a ...of protein complex detection ...discover protein complexes with core- attachment structures from tandem affinity purification (TAP) data ...dynamic ... See full document
10
Identification of a TRBD zinc finger interacting protein in Giardia duodenalis and its regulation of telomerase
... teins. Protein-fragment complementation assays (PCAs) were applied to determine the site of interaction between ZFD and the TRBD in both mammalian cells and ...fluorescent protein; the proteins were ... See full document
11
Protein disorderness based prediction of essential genes of Saccharomyces cerevisiae: A machine learning approach
... Several attempts have been made to identify essential genes of prokaryotes through wet lab and in-silico techniques. In most cases the experimental basis of identifying essential genes of the organisms in the wet lab has ... See full document
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