CA2499412A1 - Procede de calcul permettant de predire des interactions intramoleculaires et intermoleculaires entre des biopolymeres - Google Patents

Procede de calcul permettant de predire des interactions intramoleculaires et intermoleculaires entre des biopolymeres Download PDF

Info

Publication number
CA2499412A1
CA2499412A1 CA002499412A CA2499412A CA2499412A1 CA 2499412 A1 CA2499412 A1 CA 2499412A1 CA 002499412 A CA002499412 A CA 002499412A CA 2499412 A CA2499412 A CA 2499412A CA 2499412 A1 CA2499412 A1 CA 2499412A1
Authority
CA
Canada
Prior art keywords
scores
sequence
misaligned
data
score
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002499412A
Other languages
English (en)
Inventor
Phillip S. Pang
Eckhard Jankowsky
Anna Marie Pyle
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Columbia University in the City of New York
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2499412A1 publication Critical patent/CA2499412A1/fr
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/10Sequence alignment; Homology search
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00ICT specially adapted for sequence analysis involving nucleotides or amino acids

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Biophysics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioethics (AREA)
  • Genetics & Genomics (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Evolutionary Computation (AREA)
  • Public Health (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un procédé de calcul permettant de prédire des interactions intramoléculaires et intermoléculaires entre des biopolymères, qui consiste en une manière améliorée de déterminer une structure et des informations de fonction, ces interactions intramoléculaires et intermoléculaires utilisant une approche du type ab initio, c'est-à-dire utilisant uniquement des informations de séquence. Ledit procédé peut largement s'appliquer à un outil d'exploitation de séquence capable de détecter à la fois des interactions intramoléculaires et des interactions intermoléculaires pour tous les biopolymères, notamment, un ADN, un ARN et une protéine. Il inclue un processus de criblage adaptatif permettant d'obtenir une précision élevée. Il peut consister en une méthodologie totalement sans de règles et impartiale, et permet donc de détecter de nouvelles interactions pour tous les biopolymères. Du fait de l'incorporation d'un processus de désalignement, ledit procédé peut s'utiliser de manière itérative, et est capable de redéfinir ses propres prédictions et de détecter et de gérer des erreurs. Le procédé décrit peut également fournir une technique permettant de déterminer de manière plus précise (et de redéfinir) des alignements de séquences.
CA002499412A 2002-09-23 2002-09-23 Procede de calcul permettant de predire des interactions intramoleculaires et intermoleculaires entre des biopolymeres Abandoned CA2499412A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2002/030656 WO2004027540A2 (fr) 2002-09-23 2002-09-23 Procede de calcul permettant de predire des interactions intramoleculaires et intermoleculaires entre des biopolymeres

Publications (1)

Publication Number Publication Date
CA2499412A1 true CA2499412A1 (fr) 2004-04-01

Family

ID=32028467

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002499412A Abandoned CA2499412A1 (fr) 2002-09-23 2002-09-23 Procede de calcul permettant de predire des interactions intramoleculaires et intermoleculaires entre des biopolymeres

Country Status (3)

Country Link
AU (1) AU2002334688A1 (fr)
CA (1) CA2499412A1 (fr)
WO (1) WO2004027540A2 (fr)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1993001484A1 (fr) * 1991-07-11 1993-01-21 The Regents Of The University Of California Methode permettant d'identifier des sequences de proteines qui se plient pour former une structure en trois dimensions connue
US5453937A (en) * 1993-04-28 1995-09-26 Immunex Corporation Method and system for protein modeling
US5878373A (en) * 1996-12-06 1999-03-02 Regents Of The University Of California System and method for determining three-dimensional structure of protein sequences

Also Published As

Publication number Publication date
WO2004027540A2 (fr) 2004-04-01
WO2004027540A3 (fr) 2005-03-24
AU2002334688A1 (en) 2004-04-08
AU2002334688A8 (en) 2004-04-08

Similar Documents

Publication Publication Date Title
Wolfe et al. Systematic survey reveals general applicability of" guilt-by-association" within gene coexpression networks
US8504498B2 (en) Method of generating an optimized, diverse population of variants
Simons et al. Prospects for ab initio protein structural genomics
Karchin et al. Hidden Markov models that use predicted local structure for fold recognition: alphabets of backbone geometry
Hosack et al. Identifying biological themes within lists of genes with EASE
US10155943B2 (en) Method of generating an optimized, diverse population of variants
Wang et al. How good is prediction of protein structural class by the component‐coupled method?
Liu et al. The number of protein folds and their distribution over families in nature
US20150065357A1 (en) Methods, systems, and software for identifying functional bio-molecules
US20020095260A1 (en) Methods for efficiently mining broad data sets for biological markers
AU2012328864A1 (en) Selection of preferred sample handling and processing protocol for identification of disease biomarkers and sample quality assessment
Tetko et al. Super paramagnetic clustering of protein sequences
Friedberg et al. Using an alignment of fragment strings for comparing protein structures
Bostick et al. A simple topological representation of protein structure: implications for new, fast, and robust structural classification
Ding et al. A survey of SNP data analysis
Marcotte et al. Exploiting big biology: integrating large-scale biological data for function inference
US20050026145A1 (en) Computational method for predicting intramolecular and intermolecular biopolymer interactions
Zhang et al. iSP-RAAC: Identify secretory proteins of malaria parasite using reduced amino acid composition
Xi et al. SiftCell: A robust framework to detect and isolate cell-containing droplets from single-cell RNA sequence reads
CA2499412A1 (fr) Procede de calcul permettant de predire des interactions intramoleculaires et intermoleculaires entre des biopolymeres
Bell et al. MIPHENO: data normalization for high throughput metabolite analysis
Eblen et al. Graph algorithms for integrated biological analysis, with applications to type 1 diabetes data
Kennedy et al. General strategies for using amino acid sequence data to guide biochemical investigation of protein function
Xiao et al. Using cellular automata images to predict protein structural classes
Rajasekaran Computational techniques for motif search

Legal Events

Date Code Title Description
FZDE Discontinued