Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review
In recent years, the widespread application of artificial intelligence algorithms in protein structure, function prediction, and de novo protein design has significantly accelerated the process of intelligent protein design and led to many noteworthy achievements. This advancement in protein intelli...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Molecules |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1420-3049/28/23/7865 |
| _version_ | 1797399802760134656 |
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| author | Jingjing Wang Chang Chen Ge Yao Junjie Ding Liangliang Wang Hui Jiang |
| author_facet | Jingjing Wang Chang Chen Ge Yao Junjie Ding Liangliang Wang Hui Jiang |
| author_sort | Jingjing Wang |
| collection | DOAJ |
| description | In recent years, the widespread application of artificial intelligence algorithms in protein structure, function prediction, and de novo protein design has significantly accelerated the process of intelligent protein design and led to many noteworthy achievements. This advancement in protein intelligent design holds great potential to accelerate the development of new drugs, enhance the efficiency of biocatalysts, and even create entirely new biomaterials. Protein characterization is the key to the performance of intelligent protein design. However, there is no consensus on the most suitable characterization method for intelligent protein design tasks. This review describes the methods, characteristics, and representative applications of traditional descriptors, sequence-based and structure-based protein characterization. It discusses their advantages, disadvantages, and scope of application. It is hoped that this could help researchers to better understand the limitations and application scenarios of these methods, and provide valuable references for choosing appropriate protein characterization techniques for related research in the field, so as to better carry out protein research. |
| first_indexed | 2024-03-09T01:46:24Z |
| format | Article |
| id | doaj.art-dd3237c985d345a39737292aadbc2212 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-09T01:46:24Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-dd3237c985d345a39737292aadbc22122023-12-08T15:22:34ZengMDPI AGMolecules1420-30492023-11-012823786510.3390/molecules28237865Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive ReviewJingjing Wang0Chang Chen1Ge Yao2Junjie Ding3Liangliang Wang4Hui Jiang5State Key Laboratory of NBC Protection for Civilian, Beijing 102205, ChinaState Key Laboratory of NBC Protection for Civilian, Beijing 102205, ChinaState Key Laboratory of NBC Protection for Civilian, Beijing 102205, ChinaState Key Laboratory of NBC Protection for Civilian, Beijing 102205, ChinaState Key Laboratory of NBC Protection for Civilian, Beijing 102205, ChinaState Key Laboratory of NBC Protection for Civilian, Beijing 102205, ChinaIn recent years, the widespread application of artificial intelligence algorithms in protein structure, function prediction, and de novo protein design has significantly accelerated the process of intelligent protein design and led to many noteworthy achievements. This advancement in protein intelligent design holds great potential to accelerate the development of new drugs, enhance the efficiency of biocatalysts, and even create entirely new biomaterials. Protein characterization is the key to the performance of intelligent protein design. However, there is no consensus on the most suitable characterization method for intelligent protein design tasks. This review describes the methods, characteristics, and representative applications of traditional descriptors, sequence-based and structure-based protein characterization. It discusses their advantages, disadvantages, and scope of application. It is hoped that this could help researchers to better understand the limitations and application scenarios of these methods, and provide valuable references for choosing appropriate protein characterization techniques for related research in the field, so as to better carry out protein research.https://www.mdpi.com/1420-3049/28/23/7865intelligent protein designprotein characterization techniquessequence characterizationstructural characterization |
| spellingShingle | Jingjing Wang Chang Chen Ge Yao Junjie Ding Liangliang Wang Hui Jiang Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review Molecules intelligent protein design protein characterization techniques sequence characterization structural characterization |
| title | Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review |
| title_full | Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review |
| title_fullStr | Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review |
| title_full_unstemmed | Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review |
| title_short | Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review |
| title_sort | intelligent protein design and molecular characterization techniques a comprehensive review |
| topic | intelligent protein design protein characterization techniques sequence characterization structural characterization |
| url | https://www.mdpi.com/1420-3049/28/23/7865 |
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