Artikel ; Online: Exploring Novel Biologically-Relevant Chemical Space Through Artificial Intelligence
Frontiers in Robotics and AI, Vol
The NCATS ASPIRE Program
2020 Band 6
Abstract: In recent years, artificial intelligence (AI)/machine learning (ML; a subset of AI) have become increasingly important to the biomedical research community. These technologies, coupled to big data and cheminformatics, have tremendous potential to improve ...
| Abstract | In recent years, artificial intelligence (AI)/machine learning (ML; a subset of AI) have become increasingly important to the biomedical research community. These technologies, coupled to big data and cheminformatics, have tremendous potential to improve the design of novel therapeutics and to provide safe and effective drugs to patients. A National Center for Advancing Translational Sciences (NCATS) program called A Specialized Platform for Innovative Research Exploration (ASPIRE) leverages advances in AI/ML, automated synthetic chemistry, and high-throughput biology, and seeks to enable translation and drug development by catalyzing exploration of biologically active chemical space. Here we discuss the opportunities and challenges surrounding the application of AI/ML to the exploration of novel biologically relevant chemical space as part of ASPIRE. |
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| Schlagwörter | artificial intelligence ; machine learning ; drug discovery ; pharmaceutical development ; biomedical research ; cheminformatics ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95 |
| Thema/Rubrik (Code) | 670 |
| Sprache | Englisch |
| Erscheinungsdatum | 2020-01-01T00:00:00Z |
| Verlag | Frontiers Media S.A. |
| Dokumenttyp | Artikel ; Online |
| Datenquelle | BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl) |
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