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MOLECULAR DOCKING STUDIES WITH PHYTOCONSTITUENTS OF TINOSPORA SINENSIS TARGETING SARS-COV-2 PROTEIN USING AUTODOCK VINA (Record no. 132517)
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| 000 -LEADER | |
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| fixed length control field | 01812nam a2200145 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250821b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Christy Saji |
| 245 ## - TITLE STATEMENT | |
| Title | MOLECULAR DOCKING STUDIES WITH PHYTOCONSTITUENTS OF TINOSPORA SINENSIS TARGETING SARS-COV-2 PROTEIN USING AUTODOCK VINA |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | Page No. 22-27 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | Drug discovery is time-consuming and resource-intensive, but computational approaches offer a more efficient alternative. The urgency for antiviral treatments became evident during the SARS-CoV-2 pandemic due to the virus’s rapid spread and mutations. This study utilizes computational drug design techniques to assess the antiviral potential of Tinospora sinensis constituents against the SARS-CoV-2 main protease (PDB ID: 6LU7). The target protein was prepared using AutoDock tools, and molecular docking was conducted with AutoDock Vina. Of 37 compounds, 5 exhibited a binding affinity below -7 kcal mol-1, with tinosporaside showing the highest affinity and low toxicity. These results suggest that tinosporaside is a promising candidate for further development. By streamlining drug discovery, computational methods accelerate the identification of potential treatments, reducing costs and waste. This study underscores the value of computational methods in antiviral research and supports further investigation into combating SARS-CoV-2 and future viral threats. |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="Antidepressants ">Antidepressants </a> |
| -- | <a href="clinical depression">clinical depression</a> |
| -- | <a href="Major depressive disorder [MDD]">Major depressive disorder [MDD]</a> |
| -- | <a href="brain chemistry ">brain chemistry </a> |
| -- | <a href="treatment resistant depression [TRD]">treatment resistant depression [TRD]</a> |
| -- | <a href="elecroconvulsive therapy">elecroconvulsive therapy</a> |
| -- | <a href="diagnostic and statistical manual of mental disorders[dsm-5]">diagnostic and statistical manual of mental disorders[dsm-5]</a> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rajeswary K. Balachandrana |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 125265 |
| Host Itemnumber | 113416 |
| Place, publisher, and date of publication | Mumbai Indian Drugs Manufacturer's Association |
| Title | Indian Drugs |
| International Standard Serial Number | 0019-462X |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 21/08/2025 | jp839.1 | 21/08/2025 | 21/08/2025 | Journal Article |