MARC details
| 000 -LEADER |
| fixed length control field |
03691ntm a2200349 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20260715122719.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
| fixed length control field |
t|||||r|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
260715t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
THE0010738 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTKKP .Z854 2025 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Muhammad Zulfadhli Bin Khairul Arifin, , , |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Anti-inflammatory potential of ethanol extract of rungia pectinata : |
| Remainder of title |
in silico investigation / |
| Statement of responsibility, etc. |
Muhammad Zulfadhli Bin Khairul Arifin |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2025 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
ix, 49 pages : |
| Other physical details |
illustrations ; |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
| General note |
Faculty of Chemical and Process Engineering Technology |
| 502 ## - DISSERTATION NOTE |
| Dissertation note |
Final Year Report (Bachelor of Manufacturing Engineering Technology (Pharmaceuticals) with Hons ) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Include bibliographical reference |
| 520 3# - SUMMARY, ETC. |
| Summary, etc. |
Inflammation is a complex biological response that plays a crucial role in protecting the body against harm but can lead to chronic diseases if prolonged. Existing anti-inflammatory drugs often have limitations, such as side effects and long-term health risks, highlighting the need for new therapeutic agents. The Rungia pectinata plant, which is used in traditional medicine, has been studied and proven to have anti-inflammatory potential. This study aimed to identify bioactive compounds in the ethanol extract of Rungia pectinata, evaluate their interactions with target inflammatory proteins through silico methods, and predict their ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties. The methodology included Soxhlet extraction of Rungia pectinata using ethanol as a solvent, followed by compound identification through LC-QTOF-MS analysis. Computational techniques, including molecular docking using CB Dock and structural modeling with ChemDraw and ChemSketch, were employed to assess the binding affinity of the identified compounds to the selected target proteins. ADMET properties were predicted using SwissADME and ProTox-II tools to ensure the safety and efficacy of the bioactive molecules. A total of 47 compounds were identified in the extract. Among these, compounds; 2-octenal (C9), Juvabione (C19), and C13:2n-8,10 (C21), exhibited strong interactions with NF-κB proteins. Docking studies revealed that C19 formed multiple hydrogen bonds with protein 3DO7 and 1NFI, achieving the lowest binding energy, which indicates a robust interaction. ADMET predictions further supported the drug-likeness and safety of these compounds, suggesting favorable absorption and minimal toxicity. These findings elucidate the molecular mechanisms underlying the anti-inflammatory potential of Rungia pectinata and align with its traditional use as a natural remedy. The in-silico investigation confirms that the ethanol extract of Rungia pectinata contains bioactive compounds with significant anti-inflammatory potential. The combined molecular docking and ADMET analyses highlight compounds 2-octenal, Juvabione, and C13:2n-8,10 as promising candidates for further preclinical evaluation, supporting the development of novel, plant-based anti-inflammatory therapies. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
| Corporate name or jurisdiction name as entry element |
Faculty of Chemical and Process Engineering Technology |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Theses |
| General subdivision |
Dissertations |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
| Uniform Resource Identifier |
https://umpir.ump.edu.my/id/eprint/47625 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Final Year Report |