370 related articles for article (PubMed ID: 33835131)
1. Revolutionizing enzyme engineering through artificial intelligence and machine learning.
Singh N; Malik S; Gupta A; Srivastava KR
Emerg Top Life Sci; 2021 May; 5(1):113-125. PubMed ID: 33835131
[TBL] [Abstract][Full Text] [Related]
2. Machine learning-assisted enzyme engineering.
Siedhoff NE; Schwaneberg U; Davari MD
Methods Enzymol; 2020; 643():281-315. PubMed ID: 32896285
[TBL] [Abstract][Full Text] [Related]
3. [Progress in the application of artificial intelligence-assisted molecular modification of enzymes].
Xu P; Wang W; Ning H; Cao R; Liu S; Fan P; Song X
Sheng Wu Gong Cheng Xue Bao; 2024 Jun; 40(6):1728-1741. PubMed ID: 38914488
[TBL] [Abstract][Full Text] [Related]
4. A primer on applying AI synergistically with domain expertise to oncology.
Kim J; Kusko R; Zeskind B; Zhang J; Escalante-Chong R
Biochim Biophys Acta Rev Cancer; 2021 Aug; 1876(1):188548. PubMed ID: 33901609
[TBL] [Abstract][Full Text] [Related]
5. Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery.
Pasrija P; Jha P; Upadhyaya P; Khan MS; Chopra M
Curr Top Med Chem; 2022; 22(20):1692-1727. PubMed ID: 35786336
[TBL] [Abstract][Full Text] [Related]
6. Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors.
Shiammala PN; Duraimutharasan NKB; Vaseeharan B; Alothaim AS; Al-Malki ES; Snekaa B; Safi SZ; Singh SK; Velmurugan D; Selvaraj C
Methods; 2023 Nov; 219():82-94. PubMed ID: 37778659
[TBL] [Abstract][Full Text] [Related]
7. Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data.
Cui F; Zhang Z; Cao C; Zou Q; Chen D; Su X
Proteomics; 2022 Apr; 22(8):e2100197. PubMed ID: 35112474
[TBL] [Abstract][Full Text] [Related]
8. Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial.
Thirunavukarasu AJ; Elangovan K; Gutierrez L; Li Y; Tan I; Keane PA; Korot E; Ting DSW
J Med Internet Res; 2023 Oct; 25():e49949. PubMed ID: 37824185
[TBL] [Abstract][Full Text] [Related]
9. Applications of artificial intelligence to enzyme and pathway design for metabolic engineering.
Jang WD; Kim GB; Kim Y; Lee SY
Curr Opin Biotechnol; 2022 Feb; 73():101-107. PubMed ID: 34358728
[TBL] [Abstract][Full Text] [Related]
10. PyPEF-An Integrated Framework for Data-Driven Protein Engineering.
Siedhoff NE; Illig AM; Schwaneberg U; Davari MD
J Chem Inf Model; 2021 Jul; 61(7):3463-3476. PubMed ID: 34260225
[TBL] [Abstract][Full Text] [Related]
11. Big data and machine learning driven bioprocessing - Recent trends and critical analysis.
Yang CT; Kristiani E; Leong YK; Chang JS
Bioresour Technol; 2023 Mar; 372():128625. PubMed ID: 36642201
[TBL] [Abstract][Full Text] [Related]
12. Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field.
Villalobos-Alva J; Ochoa-Toledo L; Villalobos-Alva MJ; Aliseda A; Pérez-Escamirosa F; Altamirano-Bustamante NF; Ochoa-Fernández F; Zamora-Solís R; Villalobos-Alva S; Revilla-Monsalve C; Kemper-Valverde N; Altamirano-Bustamante MM
Front Bioeng Biotechnol; 2022; 10():788300. PubMed ID: 35875501
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence as Accelerator for Genomic Medicine and Planetary Health.
Gulfidan G; Beklen H; Arga KY
OMICS; 2021 Dec; 25(12):745-749. PubMed ID: 34780300
[TBL] [Abstract][Full Text] [Related]
14. Rethinking Drug Repositioning and Development with Artificial Intelligence, Machine Learning, and Omics.
Koromina M; Pandi MT; Patrinos GP
OMICS; 2019 Nov; 23(11):539-548. PubMed ID: 31651216
[TBL] [Abstract][Full Text] [Related]
15. Applications of artificial intelligence and machine learning in dynamic pathway engineering.
Merzbacher C; Oyarzún DA
Biochem Soc Trans; 2023 Oct; 51(5):1871-1879. PubMed ID: 37656433
[TBL] [Abstract][Full Text] [Related]
16. The recent advances in the approach of artificial intelligence (AI) towards drug discovery.
Khan MK; Raza M; Shahbaz M; Hussain I; Khan MF; Xie Z; Shah SSA; Tareen AK; Bashir Z; Khan K
Front Chem; 2024; 12():1408740. PubMed ID: 38882215
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence in spine care: current applications and future utility.
Hornung AL; Hornung CM; Mallow GM; Barajas JN; Rush A; Sayari AJ; Galbusera F; Wilke HJ; Colman M; Phillips FM; An HS; Samartzis D
Eur Spine J; 2022 Aug; 31(8):2057-2081. PubMed ID: 35347425
[TBL] [Abstract][Full Text] [Related]
18. Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery.
Yang X; Wang Y; Byrne R; Schneider G; Yang S
Chem Rev; 2019 Sep; 119(18):10520-10594. PubMed ID: 31294972
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation.
Narayanan H; Dingfelder F; Butté A; Lorenzen N; Sokolov M; Arosio P
Trends Pharmacol Sci; 2021 Mar; 42(3):151-165. PubMed ID: 33500170
[TBL] [Abstract][Full Text] [Related]
20. From Deep Mutational Mapping of Allosteric Protein Landscapes to Deep Learning of Allostery and Hidden Allosteric Sites: Zooming in on "Allosteric Intersection" of Biochemical and Big Data Approaches.
Verkhivker G; Alshahrani M; Gupta G; Xiao S; Tao P
Int J Mol Sci; 2023 Apr; 24(9):. PubMed ID: 37175454
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]