The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Universidade de Santiago de Compostela
Abstract
Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. However, the successful application of AI is dependent on the availability of high-quality data, the addressing of ethical concerns, and the recognition of the limitations of AI-based approaches. In this article, the benefits, challenges, and drawbacks of AI in this field are reviewed, and possible strategies and approaches for overcoming the present obstacles are proposed. The use of data augmentation, explainable AI, and the integration of AI with traditional experimental methods, as well as the potential advantages of AI in pharmaceutical research, are also…
Citation impact
- FWCI
- 112.10
- Percentile
- 100%
- References
- 54
Authors
7- ABAlexandre Blanco-González
Universidade de Santiago de Compostela
- ACAlfonso Cabezón
Universidade de Santiago de Compostela
- ASAlejandro Seco-González
Universidade de Santiago de Compostela
- DCDaniel Conde-Torres
Universidade de Santiago de Compostela
- PAPaula Antelo-Riveiro
Universidade de Santiago de Compostela
Topics & keywords
- Computer science
- Field (mathematics)
- Data science
- Process (computing)
- Drug discovery
- Artificial intelligence
- Quality (philosophy)
- Point (geometry)
- Quality Education
Funding
- MDMinisterio de Ciencia, Innovación y UniversidadesAwards: RYC-2016-20335, PID2019, RTI2018-098795-A-I00, RTI2018, ED431F 2020/05
- XDXunta de GaliciaAwards: ED481A, ED481A 2022, ED431G/09, ED431F 2020/05, 2016-2019, ED431G/09, RYC-2016-20335, ED431G, 2022/36, ED431B 2022/36, RTI2018-098795-A-I00, ED431B, 06_IN606D_2021_2600276
- CSCentro Singular de Investigación de GaliciaAwards: ED431G, ED431F 2020/05, ED431G/09, RYC-2016-20335, RTI2018-098795-A-I00
- EREuropean Regional Development FundAwards: ED431G/09, RYC-2016-20335, 2016-2019, PID2019-111327GB-I00, RTI2018-098795-A-I00, RTI2018, ED431F 2020/05, PDC2022-133402-I00
- AEAgencia Estatal de InvestigaciónAwards: ED431F 2020/05, PID2019-111327GB-I00, PDC2022-133402-I00, RYC-2016-20335, RTI2018-098795-A-I00, PID2019