[PDF] Top 20 An Approach for Clustering Protein Structure
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An Approach for Clustering Protein Structure
... hierarchical clustering, clusters are merged together until a single cluster remains or until required numbers of clusters have been ...For clustering proteins, we have used hierarchical Ward’s ... See full document
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Identification of Anticancer Lead Molecules against PRR11 Protein Target with Combination of Protein Modelling Through Threading Approach, Structure Based Chemical Screening of ZINC Database and Pharmacokinetic Properties
... of protein sequences are available in UniProt database and the protein crystal/NMR struc- tures deposited in PDB (protein data bank) is distant, at least 10% of sequences are not determined into ... See full document
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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 PINs. This measure is known as edge betweenness. The edge betweenness of an edge is the number of shortest paths between pairs of nodes ... See full document
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Statistical and Relational Learning for Understanding Enzyme Function
... target protein needs to be available preventing their applicability to novel ...a protein has more than one domain a detected evolutionary relationship, even based on a high sequence similarity with another ... See full document
230
Softwares and methods for estimating genetic ancestry in human populations
... [1]. STRUCTURE is a model- based clustering approach which utilizes genotype data to infer the presence of distinct populations, assign indivi- duals to populations, identify admixture proportions at ... See full document
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Computational Approach in Complex Structure Prediction for Drug Design Activity
... The drug design activity obtained through the molecular binding of one molecule i.e. the ligand, to the pocket of another, usually larger, molecule i.e. the receptor, which is commonly a protein. In their binding ... See full document
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MULTI DIMENSION PROTEIN IMPACT MATRIX BASED PROTEIN SEQUENCE PREDICTION USING DATA MINING
... Dimension Protein Impact Matrix Based Protein Sequence Prediction: To improve the performance of protein structure prediction, a novel protein impact matrix based approach has ... See full document
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A knowledge-based approach to protein structure prediction
... for protein fold classification. Hierarchical approach resulted in better prediction accuracy and helped in increasing the fold ...(Hierarchical Protein Fold Prediction) outperforms other available ... See full document
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Structure based Clustering of Novels
... representing structure and ...the structure of a novel plays in identifying a novel- istic genre, and to understand to what extent the structure of the novel is a fingerprint of the style of the ... See full document
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Contact-based ligand-clustering approach for the identification of active compounds in virtual screening
... the protein binding site and ...good clustering for a particular contact selection correlates with the properties of the receptor binding ...their clustering in one leaf ... See full document
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The application of the fragment based screening approach to RmlA protein and PA1645 structure
... 39 small ligand adopts the magnetic properties of the target to which it binds to. It is, therefore, a strict requirement for these experiments to distinguish between the ligands (library compounds) and the target ... See full document
267
iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach
... of protein fragments able to approximate every part of protein structures (for a re- view ...this approach to perform structural comparisons and/or PDB ... See full document
5
In-Silico Approach Towards Protein Targets Related to Diabets Mellitus-An Overview
... selected protein targets such as Peroxisome proliferators activated receptor gamma (PPAR-g), Glycogen synthase kinases 3b (GSK-3b) and Aldose reductase (AR) related to diabetes ...the protein targets. In ... See full document
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Comparative Analysis of Mice Protein Expression: Clustering and Classification Approach
... analyze protein influences that could have affected the recovering ability to learn among the trisomic mice by performing a comparative analysis on two data mining approaches, which are clustering and ... See full document
5
Survey on Clustering Techniques in Data Mining
... data structure. Clustering complexity depends on the number of populated grid cells and not on the number of objects in the ...Grid approach) by Wang, Yang and Muntz (1997)CLIQUE(CLusteringInQUEst): ... See full document
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Protein interactions and consensus clustering analysis uncover insights into herpesvirus virion structure and function relationships
... first-best–hit approach, with no additional requirements ...first-best–hit approach, we now conservatively filter out potential spurious hits by applying a heuristically derived threshold, which combines ... See full document
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Inducing Script Structure from Crowdsourced Event Descriptions via Semi Supervised Clustering
... a clustering-based approach to inducing script structure from crowdsourced de- scriptions of ...semi-supervised clustering to group individual event descriptions into paraphrase sets ... See full document
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Fast structure similarity searches among protein models: efficient clustering of protein fragments
... the structure and dynamics of biomolecules and biocomplexes are of utmost importance in determining their function, whose knowledge and elucidation is the ultimate goal of structural ... See full document
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Validation of hierarchical gene clusters using repeated measurements
... Hierarchical clustering is an unsupervised technique, which is a common approach to study protein and gene expression ...In clustering, the patterns of expression of different genes are ... See full document
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An Approach to Improve Quality of Document Clustering by Word Set Based Documenting Clustering Algorithm
... This proposed methodology used to implement proposed Document Clustering method. Proposed method is cluster centered in that. The Cohesiveness of a cluster is measured directly using frequent closed word sets. ... See full document
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