Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs
This scientific article delves into the advantages, insights, and limitations of ChatGPT in various scientific domains. Alongside other large language models, this tool exhibits the potential to directly or indirectly assist in a range of scientific areas including Computer Science, Chemistry, Biol...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Mato Grosso do Sul
2024-12-01
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| Series: | Orbital: The Electronic Journal of Chemistry |
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| Online Access: | https://periodicos.ufms.br/index.php/orbital/article/view/21129 |
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| author | Michell O. Almeida Artur C. G. Soares Gustavo H. M. Sousa Witor R. Ferraz Gustavo Trossini |
| author_facet | Michell O. Almeida Artur C. G. Soares Gustavo H. M. Sousa Witor R. Ferraz Gustavo Trossini |
| author_sort | Michell O. Almeida |
| collection | DOAJ |
| description |
This scientific article delves into the advantages, insights, and limitations of ChatGPT in various scientific domains. Alongside other large language models, this tool exhibits the potential to directly or indirectly assist in a range of scientific areas including Computer Science, Chemistry, Biology/Bioinformatics, and Medicine. Some of the functionalities of ChatGPT include text translation, code improvement, data visualization, and database cleaning. The model can aid in writing and translating scientific articles from mostly any language. In the field of chemoinformatics and computational chemistry, ChatGPT can provide code examples and assist in code development, by evaluating and enhancing code readability and project documentation. Furthermore, it can assist in the database cleaning process and create customized functions for performing specialized tasks. However, ChatGPT does possess some limitations, such as frequent occurrences of artificial hallucinations (a response generated by AI that comprises erroneous or misleading information presented as true), the inability to process multimodal information, and the potential for biases in its training datasets. Therefore, caution must be exercised when incorporating these technologies, considering their social impact and implications for the job market. Acknowledging limitations is crucial when using these tools. With careful and proper use, they can aid the scientific process with the potential to speed up drug discovery.
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| format | Article |
| id | doaj-art-112a41b4fe4041dea91034b653b4b928 |
| institution | OA Journals |
| issn | 1984-6428 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universidade Federal de Mato Grosso do Sul |
| record_format | Article |
| series | Orbital: The Electronic Journal of Chemistry |
| spelling | doaj-art-112a41b4fe4041dea91034b653b4b9282025-08-20T02:36:34ZengUniversidade Federal de Mato Grosso do SulOrbital: The Electronic Journal of Chemistry1984-64282024-12-0116410.17807/orbital.v16i4.21129Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel DrugsMichell O. Almeida0Artur C. G. Soares1Gustavo H. M. Sousa2Witor R. Ferraz3Gustavo Trossini4University of São PauloUniversity of São PauloUniversity of São PauloUniversity of São PauloUniversity of São Paulo This scientific article delves into the advantages, insights, and limitations of ChatGPT in various scientific domains. Alongside other large language models, this tool exhibits the potential to directly or indirectly assist in a range of scientific areas including Computer Science, Chemistry, Biology/Bioinformatics, and Medicine. Some of the functionalities of ChatGPT include text translation, code improvement, data visualization, and database cleaning. The model can aid in writing and translating scientific articles from mostly any language. In the field of chemoinformatics and computational chemistry, ChatGPT can provide code examples and assist in code development, by evaluating and enhancing code readability and project documentation. Furthermore, it can assist in the database cleaning process and create customized functions for performing specialized tasks. However, ChatGPT does possess some limitations, such as frequent occurrences of artificial hallucinations (a response generated by AI that comprises erroneous or misleading information presented as true), the inability to process multimodal information, and the potential for biases in its training datasets. Therefore, caution must be exercised when incorporating these technologies, considering their social impact and implications for the job market. Acknowledging limitations is crucial when using these tools. With careful and proper use, they can aid the scientific process with the potential to speed up drug discovery. https://periodicos.ufms.br/index.php/orbital/article/view/21129Natural Language ProcessingMedicinal ChemistryDrug design and developmentChemoinformaticComputational chemistry |
| spellingShingle | Michell O. Almeida Artur C. G. Soares Gustavo H. M. Sousa Witor R. Ferraz Gustavo Trossini Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs Orbital: The Electronic Journal of Chemistry Natural Language Processing Medicinal Chemistry Drug design and development Chemoinformatic Computational chemistry |
| title | Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs |
| title_full | Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs |
| title_fullStr | Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs |
| title_full_unstemmed | Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs |
| title_short | Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs |
| title_sort | investigating the prospects of chatgpt in training medicinal chemists and the development of novel drugs |
| topic | Natural Language Processing Medicinal Chemistry Drug design and development Chemoinformatic Computational chemistry |
| url | https://periodicos.ufms.br/index.php/orbital/article/view/21129 |
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