Predicting enzyme class from protein structure using Bayesian classification

被引：0

作者：

Borro, Luiz C. ^{[1
]}

Oliveira, Stanley R. M. ^{[1
]}

Yamagishi, Michel E. B. ^{[1
]}

Mancini, Adaulto L. ^{[1
]}

Jardine, Jose G. ^{[1
]}

Mazoni, Ivan ^{[1
]}

dos Santos, Edgard H. ^{[1
]}

Higa, Roberto H. ^{[1
]}

Kuser, Paula R. ^{[1
]}

Neshich, Goran ^{[1
]}

机构：

[1] Embrapa Informat Technol, BR-13083886 Campinas, SP, Brazil

来源：

GENETICS AND MOLECULAR RESEARCH | 2006年 / 5卷 / 01期

关键词：

protein function prediction; protein structure; Naive Bayes; enzyme classification number; Bayesian classifier; data classification;

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Predicting enzyme class from protein structure parameters is a challenging problem in protein analysis. We developed a method to predict enzyme class that combines the strengths of statistical and data-mining methods. This method has a strong mathematical foundation and is simple to implement, achieving an accuracy of 45%. A comparison with the methods found in the literature designed to predict enzyme class showed that our method outperforms the existing methods.

引用

页码：193 / 202

页数：10

共 50 条

[21] A Bayesian Classification Approach Using Class-Specific Features for Text Categorization
Tang, Bo
He, Haibo
Baggenstoss, Paul M.
Kay, Steven
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 28 (06) : 1602 - 1606
[22] Predicting function from protein structure comparison
Russell, R. B.
ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2000, 56 : S111 - S111
[23] Predicting protein function from sequence and structure
Lee, David
Redfern, Oliver
Orengo, Christine
NATURE REVIEWS MOLECULAR CELL BIOLOGY, 2007, 8 (12) : 995 - 1005
[24] Predicting protein structure from single sequences
Shen, Yang
NATURE COMPUTATIONAL SCIENCE, 2022, 2 (12): : 775 - 776
[25] Predicting protein function from sequence and structure
David Lee
Oliver Redfern
Christine Orengo
Nature Reviews Molecular Cell Biology, 2007, 8 : 995 - 1005
[26] A Bayesian networks approach for predicting protein-protein interactions from genomic data
Jansen, R
Yu, HY
Greenbaum, D
Kluger, Y
Krogan, NJ
Chung, SB
Emili, A
Snyder, M
Greenblatt, JF
Gerstein, M
SCIENCE, 2003, 302 (5644) : 449 - 453
[27] Predicting protein structure from single sequences
Yang Shen
Nature Computational Science, 2022, 2 : 775 - 776
[28] Protein structure prediction using classification techniques
Charry-Ceballos, Christian
Bedoya-Leiva, Oscar
UIS INGENIERIAS, 2018, 17 (02): : 75 - 85
[29] Predicting enzyme family class in a hybridization space
Chou, KC
Cai, YD
PROTEIN SCIENCE, 2004, 13 (11) : 2857 - 2863
[30] Predicting protein-protein interactions from primary structure
Bock, JR
Gough, DA
BIOINFORMATICS, 2001, 17 (05) : 455 - 460

← 1 2 3 4 5 →