An efficient automated computer vision based technique for detection of three dimensional structural motifs in proteins.
about
ProCKSI: a decision support system for Protein (structure) Comparison, Knowledge, Similarity and InformationThe structural alignment between two proteins: is there a unique answer?A database of protein structure families with common folding motifsA structural study for the optimisation of functional motifs encoded in protein sequencesFrom crystal structure to in silico epitope discovery in the Burkholderia pseudomallei flagellar hook-associated protein FlgKMolecular surface representations by sparse critical pointsProtein structure alignment using a genetic algorithm.Protein structure alignment using environmental profiles.A new bioinformatic approach to detect common 3D sites in protein structures.Searching protein structure databases has come of age.Surface motifs by a computer vision technique: searches, detection, and implications for protein-ligand recognition.An automatic method for predicting transmembrane protein structures using cryo-EM and evolutionary dataSuperpose3D: a local structural comparison program that allows for user-defined structure representations.Three-dimensional, sequence order-independent structural comparison of a serine protease against the crystallographic database reveals active site similarities: potential implications to evolution and to protein foldingCarbohydrate binding modules: biochemical properties and novel applications.Evolution of p53 in hypoxia-stressed Spalax mimics human tumor mutation.FAMCS: finding all maximal common substructures in proteins.Integrative computational modeling of protein interactions.Characterization of mutations causing factor VII deficiency in 61 unrelated Israeli patients.Biological meaning, statistical significance, and classification of local spatial similarities in nonhomologous proteinsSpatial, sequence-order-independent structural comparison of alpha/beta proteins: evolutionary implications.A novel Phe171Cys mutation in integrin alpha causes Glanzmann thrombasthenia by abrogating alphabeta complex formation.Elucidating Mechanisms of Molecular Recognition Between Human Argonaute and miRNA Using Computational Approaches.BetaSuperposer: superposition of protein surfaces using beta-shapes.Seven novel mutations in the factor XIII A-subunit gene causing hereditary factor XIII deficiency in 10 unrelated familiesSCUD: Fast structure clustering of decoys using reference state to remove overall rotation
P2860
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P2860
An efficient automated computer vision based technique for detection of three dimensional structural motifs in proteins.
description
1992 nî lūn-bûn
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1992年の論文
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1992年学术文章
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1992年学术文章
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1992年学术文章
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1992年学术文章
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1992年学术文章
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1992年学术文章
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1992年學術文章
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name
An efficient automated compute ...... structural motifs in proteins.
@en
An efficient automated compute ...... structural motifs in proteins.
@nl
type
label
An efficient automated compute ...... structural motifs in proteins.
@en
An efficient automated compute ...... structural motifs in proteins.
@nl
prefLabel
An efficient automated compute ...... structural motifs in proteins.
@en
An efficient automated compute ...... structural motifs in proteins.
@nl
P2093
P2860
P1476
An efficient automated compute ...... structural motifs in proteins.
@en
P2093
P2860
P304
P356
10.1080/07391102.1992.10507955
P577
1992-02-01T00:00:00Z