326 related articles for article (PubMed ID: 30488731)
1. Advances with support vector machines for novel drug discovery.
Maltarollo VG; Kronenberger T; Espinoza GZ; Oliveira PR; Honorio KM
Expert Opin Drug Discov; 2019 Jan; 14(1):23-33. PubMed ID: 30488731
[TBL] [Abstract][Full Text] [Related]
2. Support vector machines for drug discovery.
Heikamp K; Bajorath J
Expert Opin Drug Discov; 2014 Jan; 9(1):93-104. PubMed ID: 24304044
[TBL] [Abstract][Full Text] [Related]
3. Use of machine learning approaches for novel drug discovery.
Lima AN; Philot EA; Trossini GH; Scott LP; Maltarollo VG; Honorio KM
Expert Opin Drug Discov; 2016; 11(3):225-39. PubMed ID: 26814169
[TBL] [Abstract][Full Text] [Related]
4. Insights into Machine Learning-based Approaches for Virtual Screening in Drug Discovery: Existing Strategies and Streamlining Through FP-CADD.
Hussain W; Rasool N; Khan YD
Curr Drug Discov Technol; 2021; 18(4):463-472. PubMed ID: 32767944
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
Gupta R; Srivastava D; Sahu M; Tiwari S; Ambasta RK; Kumar P
Mol Divers; 2021 Aug; 25(3):1315-1360. PubMed ID: 33844136
[TBL] [Abstract][Full Text] [Related]
6. Quantitative structure-activity relationship: promising advances in drug discovery platforms.
Wang T; Wu MB; Lin JP; Yang LR
Expert Opin Drug Discov; 2015 Dec; 10(12):1283-300. PubMed ID: 26358617
[TBL] [Abstract][Full Text] [Related]
7. Ranking chemical structures for drug discovery: a new machine learning approach.
Agarwal S; Dugar D; Sengupta S
J Chem Inf Model; 2010 May; 50(5):716-31. PubMed ID: 20387860
[TBL] [Abstract][Full Text] [Related]
8. The application of machine learning techniques to innovative antibacterial discovery and development.
Serafim MSM; Kronenberger T; Oliveira PR; Poso A; Honório KM; Mota BEF; Maltarollo VG
Expert Opin Drug Discov; 2020 Oct; 15(10):1165-1180. PubMed ID: 32552005
[TBL] [Abstract][Full Text] [Related]
9. Machine learning techniques and drug design.
Gertrudes JC; Maltarollo VG; Silva RA; Oliveira PR; Honório KM; da Silva AB
Curr Med Chem; 2012; 19(25):4289-97. PubMed ID: 22830342
[TBL] [Abstract][Full Text] [Related]
10. From machine learning to deep learning: progress in machine intelligence for rational drug discovery.
Zhang L; Tan J; Han D; Zhu H
Drug Discov Today; 2017 Nov; 22(11):1680-1685. PubMed ID: 28881183
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence in drug discovery: recent advances and future perspectives.
Jiménez-Luna J; Grisoni F; Weskamp N; Schneider G
Expert Opin Drug Discov; 2021 Sep; 16(9):949-959. PubMed ID: 33779453
[No Abstract] [Full Text] [Related]
12. Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?
Dobchev D; Karelson M
Expert Opin Drug Discov; 2016 Jul; 11(7):627-39. PubMed ID: 27149299
[TBL] [Abstract][Full Text] [Related]
13. QSAR studies in the discovery of novel type-II diabetic therapies.
Abuhammad A; Taha MO
Expert Opin Drug Discov; 2016; 11(2):197-214. PubMed ID: 26558613
[TBL] [Abstract][Full Text] [Related]
14. Editorial: Current status and perspective on drug targets in tubercle bacilli and drug design of antituberculous agents based on structure-activity relationship.
Tomioka H
Curr Pharm Des; 2014; 20(27):4305-6. PubMed ID: 24245755
[TBL] [Abstract][Full Text] [Related]
15. Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.
Sánchez-Reolid R; Martínez-Rodrigo A; López MT; Fernández-Caballero A
Int J Neural Syst; 2020 Jul; 30(7):2050031. PubMed ID: 32507059
[TBL] [Abstract][Full Text] [Related]
16. Benchmarking ligand-based virtual High-Throughput Screening with the PubChem database.
Butkiewicz M; Lowe EW; Mueller R; Mendenhall JL; Teixeira PL; Weaver CD; Meiler J
Molecules; 2013 Jan; 18(1):735-56. PubMed ID: 23299552
[TBL] [Abstract][Full Text] [Related]
17. (Machine-)Learning to analyze in vivo microscopy: Support vector machines.
Wang MFZ; Fernandez-Gonzalez R
Biochim Biophys Acta Proteins Proteom; 2017 Nov; 1865(11 Pt B):1719-1727. PubMed ID: 28974388
[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. Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery.
Rodríguez-Pérez R; Bajorath J
J Comput Aided Mol Des; 2022 May; 36(5):355-362. PubMed ID: 35304657
[TBL] [Abstract][Full Text] [Related]
20. The advancement of multidimensional QSAR for novel drug discovery - where are we headed?
Wang T; Yuan XS; Wu MB; Lin JP; Yang LR
Expert Opin Drug Discov; 2017 Aug; 12(8):769-784. PubMed ID: 28562095
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
