Transformation of herbal drug discovery and development progression by joining the hands with artificial intelligence (Record no. 16886)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220624121134.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220624b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 11707 |
| Author | Malviya, Neelesh |
| 245 ## - TITLE STATEMENT | |
| Title | Transformation of herbal drug discovery and development progression by joining the hands with artificial intelligence |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.53(1), Jan |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Mumbai |
| Name of publisher, distributor, etc. | Indian Pharmacutical Association |
| Year | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 18-23p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Drug discovery and development with the use of new technological inputs are taking new shapes and dimensions and proving its benefits over traditional drug discovery methods. Artificial intelligence (AI) applications in Pharmaceutical sciences are coming up as a potential tool in solving many complex problems in discovering a new drug molecule and also at the preclinical drug development level. Since herbal medicines are also an integral part of the disease management system, scientists are working on bringing Artificial Intelligence concept in herbal medicine discovery and development through machine learning and analysis of big phytochemical data through machine learning and deep learning processes. Researchers are taking the help of AI to predict the biological function of natural products by the use of its 2D structure. This review focuses on the various Artificial Intelligence-based systems and multidisciplinary approaches for herbal medicine discovery, use and importance of automation techniques and data mining in the natural product discovery. Overall the use of Artificial Intelligence and its based techniques in different fields and steps in different aspects of drug discovery are mentioned with their important roles. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4639 |
| Topical term or geographic name entry element | PHARMACEUTICS |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 16788 |
| Co-Author | Saxena, Rajiv |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | New Delhi Indian Pharmaceutical Association |
| Title | Pharma times |
| International Standard Serial Number | 0031-6849 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ipapharma.org/wp-content/uploads/2021/01/Pharma-Times-January-2021-Low-Resolution.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
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| School of Pharmacy | School of Pharmacy | Archieval Section | 2022-06-24 | 2022-0863 | 2022-06-24 | 2022-06-24 | Articles Abstract Database |