MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03443ntm a2200349 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260727124915.0 |
| 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 |
260727t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
THE0010767 (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 .A46 2025 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Al Mira Binti Abdullah, , , |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Prediction of quantitative structure-activity relationship between kelulut honey and type 1 diabetes / |
| Statement of responsibility, etc. |
Al Mira Binti Abdullah |
| 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 |
xi, 61 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 (Pharmaceutical) 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. |
An ethical alternatives and ways to discover drugs and its bioavailability that is cost and time efficient are emerging using in silico studies. This study aims to investigate the binding affinity of target protein and compounds along with building predictive model and obtain best features of molecular structure to discover Kelulut honey compounds potential for Type 1 Diabetes treatment. PyRx platform is utilized for studying the binding affinity value of Kelulut honey compounds and FasL as target protein. Upon knowing compounds with highest binding affinity value, predictive model using Machine Learning algorithms is built using KNIMES Analytic Platform. Biological activity data of compounds for training set are obtained from ChEMBL using SQLite interface to ensure model built can understand the relationship of biological activity value and molecule characteristic to predict new value of biological activity for new unseen compounds which in this study will be Kelulut Honey compounds. Results has demonstrated 23-epi-26 Deoxyactein compound has the highest binding affinity value which is -8.0kcal/mol and has exhibited molecular bonds such as hydrogen bond and hydrophobic bond. 23-epi-26 Deoxyactein also has anti-inflammatory properties which will inhibit excess nitric oxide in cell which cause cell inflammation. Two model are built to compare different biological activity data which is IC50 and Ki and both model has shown to be a good model with R value of 0.842 and 0.837, respectively. From this model, most influential descriptors are also discovered which are Molecular Quantum Numbers, 1st Surface Area Polarizability, Number of Rotatable Bonds, and few others. Arnicolide C, Arnicolide D, Dictamnol, Nabilone and Capnoidine have shown to have most potential for Type 1 Diabetes treatment as it have antioxidant and anti-inflammatory properties which will reduce beta cell death and protect insulin production.This study has underscores Kelulut honey compounds which have most potential in reducing beta cell death in Type 1 Diabetes and for treatment. |
| 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/47698 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Final Year Report |