Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction

被引：2

作者：

Luis Filgueiras, Juan ^{[1
]}

Varela, Daniel ^{[1
]}

Santos, Jose ^{[1
]}

机构：

[1] Univ A Coruna, CITIC Ctr Informat & Commun Technol Res, Dept Comp Sci & Informat Technol, La Coruna, Spain

来源：

BIO-INSPIRED SYSTEMS AND APPLICATIONS: FROM ROBOTICS TO AMBIENT INTELLIGENCE, PT II | 2022年 / 13259卷

关键词：

D O I：

10.1007/978-3-031-06527-9_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article discusses the advantages and problems of different approaches to ab initio protein structure prediction. Recent successful approaches based on deep learning are compared with those based on protein fragment replacements and energy minimization with different search strategies, including ours based on evolutionary algorithms. Selected proteins are considered to analyze the approaches, focusing on the problems of those based on deep learning.

引用

页码：109 / 118

页数：10

共 50 条

[21] On the use of Deep Learning Approaches for Occupancy prediction in Energy Efficient Buildings
Elkhoukhi, Hamza
Bakhouya, Mohamed
Hanifi, Majdoulayne
El Ouadghiri, Driss
PROCEEDINGS OF 2019 7TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2019, : 407 - 412
[22] Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches
Zaghloul, Maha
Barakat, Sherif
Rezk, Amira
JOURNAL OF RETAILING AND CONSUMER SERVICES, 2024, 79
[23] Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons
Graser, Jake
Kauwe, Steven K.
Sparks, Taylor D.
CHEMISTRY OF MATERIALS, 2018, 30 (11) : 3601 - 3612
[24] Protein secondary structure prediction by using deep learning method
Wang, Yangxu
Mao, Hua
Yi, Zhang
KNOWLEDGE-BASED SYSTEMS, 2017, 118 : 115 - 123
[25] Recent developments in deep learning applied to protein structure prediction
Kandathil, Shaun M.
Greener, Joe G.
Jones, David T.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2019, 87 (12) : 1179 - 1189
[26] Application of Deep Learning in Protein Structure Prediction and Its Inspirations
Wang, Tian-yao
Li, Jian-feng
ACTA POLYMERICA SINICA, 2022, 53 (06): : 581 - 591
[27] Deep metric learning for accurate protein secondary structure prediction
Yang, Wei
Liu, Yang
Xiao, Chunjing
KNOWLEDGE-BASED SYSTEMS, 2022, 242
[28] Template-based prediction of protein structure with deep learning
Haicang Zhang
Yufeng Shen
BMC Genomics, 21
[29] Template-based prediction of protein structure with deep learning
Zhang, Haicang
Shen, Yufeng
BMC GENOMICS, 2020, 21 (Suppl 11)
[30] Deep Learning-Based Advances in Protein Structure Prediction
Pakhrin, Subash C.
Shrestha, Bikash
Adhikari, Badri
KC, Dukka B.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (11)

← 1 2 3 4 5 →