COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH

Background and Objectives: Malaria remains one of the most dangerous diseases globally, with increasing challenges due to drug resistance. Imperfections in absorption and distribution of conventional antimalarial drugs allow parasites to persist, heightening resistance risks. Herbal-based therapi...

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Main Author: Rasida, Rima
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/87946
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:87946
spelling id-itb.:879462025-02-04T10:29:34ZCOMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH Rasida, Rima Indonesia Theses Malaria, Herbal Compounds, In Silico, ADMET, Drug Resistance INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/87946 Background and Objectives: Malaria remains one of the most dangerous diseases globally, with increasing challenges due to drug resistance. Imperfections in absorption and distribution of conventional antimalarial drugs allow parasites to persist, heightening resistance risks. Herbal-based therapies offer potential solutions, supported by in silico approaches to assess absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of synthetic and herbal compounds. This study seeks to compare the ADMET profiles of synthetic and herbal compounds with antimalarial properties using pKCSM software. Methods: Fifty-two compounds, including 26 synthetic and 26 active herbal compounds, were evaluated. Compound structures were validated using OpenBabel to ensure structural accuracy prior to performing ADMET predictions. Results: The analysis was conducted on herbal compounds such as curcumin, kaempferol, and piperine, compared to synthetic compounds like artemisinin and its derivatives. Herbal compounds exhibit unique structural complexity with high bioactivity, although challenges such as low solubility remain. Synthetic compounds are superior in terms of stability and bioavailability. In silico simulations effectively identified structural characteristics that enhance therapeutic efficacy and minimize the risks of resistance and toxicity. Conclusion: Herbal compounds hold significant potential as safe and effective alternative therapies for malaria. The in-silico approach has proven efficient in evaluating ADMET parameters and supports the development of herbal-based drugs to combat resistance to synthetic drugs. Further research is needed to validate the results through clinical trials and explore the combination of therapies between synthetic and herbal compounds to enhance malaria treatment efficacy. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Background and Objectives: Malaria remains one of the most dangerous diseases globally, with increasing challenges due to drug resistance. Imperfections in absorption and distribution of conventional antimalarial drugs allow parasites to persist, heightening resistance risks. Herbal-based therapies offer potential solutions, supported by in silico approaches to assess absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of synthetic and herbal compounds. This study seeks to compare the ADMET profiles of synthetic and herbal compounds with antimalarial properties using pKCSM software. Methods: Fifty-two compounds, including 26 synthetic and 26 active herbal compounds, were evaluated. Compound structures were validated using OpenBabel to ensure structural accuracy prior to performing ADMET predictions. Results: The analysis was conducted on herbal compounds such as curcumin, kaempferol, and piperine, compared to synthetic compounds like artemisinin and its derivatives. Herbal compounds exhibit unique structural complexity with high bioactivity, although challenges such as low solubility remain. Synthetic compounds are superior in terms of stability and bioavailability. In silico simulations effectively identified structural characteristics that enhance therapeutic efficacy and minimize the risks of resistance and toxicity. Conclusion: Herbal compounds hold significant potential as safe and effective alternative therapies for malaria. The in-silico approach has proven efficient in evaluating ADMET parameters and supports the development of herbal-based drugs to combat resistance to synthetic drugs. Further research is needed to validate the results through clinical trials and explore the combination of therapies between synthetic and herbal compounds to enhance malaria treatment efficacy.
format Theses
author Rasida, Rima
spellingShingle Rasida, Rima
COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH
author_facet Rasida, Rima
author_sort Rasida, Rima
title COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH
title_short COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH
title_full COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH
title_fullStr COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH
title_full_unstemmed COMPARATIVE STUDY OF ADMET PROFILE PREDICTION OF SYNTHESIS DRUG WITH ACTIVE COMPOUNDS OF ANTIMALARIA HERBAL PLANTS THROUGH THE IN SILICO APPROACH
title_sort comparative study of admet profile prediction of synthesis drug with active compounds of antimalaria herbal plants through the in silico approach
url https://digilib.itb.ac.id/gdl/view/87946
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