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All Journal Jurnal Ilmiah Farmasi Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science) Biogenesis: Jurnal Ilmiah Biologi Journal of Biomedicine and Translational Research The Journal of Pure and Applied Chemistry Research Pharmacon JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA ALCHEMY Jurnal Penelitian Kimia Majalah Farmasi dan Farmakologi (Trends in Pharmacy and Pharmaceutical Sciences) JSFK (Jurnal Sains Farmasi & Klinis) Jurnal Ilmiah Farmasi Farmasyifa Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Riset Farmasi Bandung Conference Series: Pharmacy al Kimiya : Jurnal Ilmu Kimia dan Terapan
Dewi, Mentari Luthfika
Program Studi Farmasi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Islam Bandung
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Energy Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Other

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The design of bioactive marine peptides as a HIV-1 protease inhibitor Taufik Muhammad Fakih; Mentari Luthfika Dewi
Jurnal Ilmiah Farmasi Vol. 17 No. 2 (2021): Jurnal Ilmiah Farmasi
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jif.vol17.iss2.art6

Abstract

AbstractBackground: Human immunodeficiency virus/acquired immunodeficiency syndrome (HIV or AIDS) is a disease related to the human immune system. Given its important role in viral replication, HIV1 protease (HIV1 PR) becomes the major therapeutic target in the treatment of AIDS. In this case, we need a dynamic aspect of molecular interactions that can demonstrate the important role of conformational variability in the design of HIV1 PR inhibitors. There are several inhibitor candidates from marine organisms, such as the LLEYSL and LLEYSI bioactive peptides produced by oysters (Crassostrea gigas).Objective: Proteinpeptide docking method was used in silico to identify, evaluate, and explore the molecular interactions between bioactive peptide molecules and HIV-1 protease macromolecules.Methods: The sequencing of bioactive peptide molecules was modeled into 3D conformation using the PEPFOLD software. The best conformation was chosen for the study of molecular interactions against HIV1 protease macromolecules using the PatchDock software. The molecular interactions formed were further observed using the BIOVIA Discovery Studio 2020 software.Results: The results of this study indicated that the LLEYSL bioactive peptide had the best affinity with an ACE score of minus 1284.70 kJ per mol.Conclusion: Bioactive peptide molecule is predicted to be a candidate for HIV1 protease inhibitor.Keywords: AIDS, HIV1 protease, bioactive peptides, protein-peptide docking, in silico Intisari Latar belakang: Infeksi human immunodeficiencyvirus/acquired immunodeficiency syndrome (HIVor AIDS) adalah penyakit yang berkaitan dengan sistem kekebalan tubuh pada manusia. Mengingat perannya yang penting dalam replikasi virus, HIV1 protease (HIV1 PR) merupakan target terapi utama dalam pengobatan AIDS. Dalam hal ini, maka diperlukan aspek dinamis dari interaksi molekuler yang dapat menunjukkan peran penting dari variabilitas konformasi dalam desain inhibitor HIV-1 PR. Terdapat beberapa kandidat inhibitor yang berasal dari organisme laut, seperti peptida bioaktif LLEYSL dan LLEYSI yang dihasilkan oleh tiram (Crassostrea gigas). Tujuan: Metode penambatan molekuler berbasis protein-peptida dilakukan untuk mengdentifikasi, mengevaluasi, dan mengeksplorasi interaksi molekuler antara molekul peptida bioaktif dengan makromolekul HIV1 protease secara in silico.Metode: Sekuensing molekul peptida bioaktif terlebih dahulu dimodelkan menjadi konformasi 3D dengan menggunakan software PEPFOLD. Konformasi terbaik dipilih untuk kemudian dilakukan studi interaksi molekuler terhadap makromolekul HIV1 protease dengan menggunakan software PatchDock. Interaksi molekuler yang terbentuk diamati lebih lanjut dengan menggunakan software BIOVIA Discovery Studio 2020.Hasil: Hasil dari penelitian ini menunjukkan bahwa peptida bioaktif LLEYSL memiliki afinitaspaling baik dengan ACE score sebesar minus 1284,70 kJ per mol.Kesimpulan:Dengan demikian, molekul peptida bioaktif tersebut diprediksi dapat dijadikan sebagai kandidat inhibitor HIV1 protease.Kata kunci : AIDS, HIV1 protease, peptida bioaktif, penambatan molekuler berbasis protein-peptida, in silico.
Magainin as an Antiviral Peptide of SARS-CoV-2 Main Protease for Potential Inhibitor: An In Silico Approach Taufik Muhammad Fakih; Mentari Luthfika Dewi; Eky Syahroni
Biogenesis: Jurnal Ilmiah Biologi Vol 8 No 1 (2020)
Publisher : Department of Biology, Faculty of Sci and Tech, Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/bio.v8i1.13871

Abstract

The new coronavirus (SARS-CoV-2), which caused the global pandemic Coronavirus Disease-2019 (COVID-2019), has infected nearly 206 countries. There is still little information about molecular compounds that can inhibit the development of infections caused by this disease. It is crucial to discover competent natural inhibitor candidates, such as antiviral peptides, because they have a variety of biological activities and have evolved to target biochemical machinery from different pathogens or host cell structures. In silico studies will be carried out, including protein-peptide docking and protein-protein docking, to identify, evaluate, and explore the affinity and molecular interactions of the Magainin-1 and Magainin-2 peptide molecules derived from frog skin (Xenopus laevis) to the main protease macromolecule (Mpro) SARS-CoV-2, and its effect on the ACE-2 receptor (Angiotensin Converting Enzyme-2 Receptor). Protein-peptide docking simulations show that both peptide molecules have a good affinity for the active site area of the SARS-CoV-2 Mpro macromolecule. These results were then confirmed using protein-protein docking simulations to observe the ability of the peptide molecule in preventing attachment to the ACE-2 receptor surface area. In silico studies show that Magainin-2 has the best affinity, with a bond free energy value of −3054.53 kJ/mol. Then the protein-protein docking simulation provided by Magainin-2 prevented the attachment of ACE-2 receptors, with an ACE score of 1697.99 kJ/mol. Thus, through in silico research, the Magainin peptide molecule can be further investigated in the development of new antiviral peptides for the treatment of infectious diseases of COVID-19.
The Discovery of Tyrosinase Enzyme Inhibitors Activity from Polyphenolic Compounds in Red Grape Seeds through In Silico Study Mentari Luthfika Dewi; Taufik Muhammad Fakih; Resty Imfyani Sofyan
The Journal of Pure and Applied Chemistry Research Vol 10, No 2 (2021): Edition May-August 2021
Publisher : Chemistry Department, The University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpacr.2021.010.02.551

Abstract

Tyrosinases are essential metal-containing enzymes in the biosynthesis of melanin, therefore responsible for pigmentation of the skin. The upregulation of tyrosinase enzyme activities leads to hyperpigmentation that will become a health problems and interfere psychosocially. Inhibition of tyrosinase enzyme activity, both competitive and non-competitive become widely developed for most anti hyperpigmentation agent. Natural antioxidants are one of the potential compounds for this purpose. Red grape seeds contain high levels of antioxidant compounds, such as procyanidin, prodelphinidin, and propelargonidin. In this research in silico studies, including molecular docking, molecular dynamics simulations, and toxicity predictions, were used to assess the activity of the three molecules of polyphenolic compounds on macromolecules of the tyrosinase enzyme. Molecular docking studies show that the compound propelargonidin has the highest affinity against the macromolecule of the tyrosinase enzyme, with a binding free energy value of −32.87 kJ/mol. These results were confirmed in molecular dynamics simulations that show strong interactions at the macromolecular active site of the tyrosinase enzyme. Toxicity prediction results show that the three polyphenolic compound molecules were classified in the High-Class Category, which shows that safety is not guaranteed, but is likely, not carcinogenic and nongenotoxic. Therefore, the compound propelargonidin is predicted to be able to interact strongly with the tyrosinase enzyme. The results in this research are useful for further study in the development of tyrosinase enzyme inhibitors.
INTERAKSI MOLEKULER INHIBITOR DIPEPTIDYL PEPTIDASE-IV (DPP-IV) DARI PROTEIN SUSU KAMBING SECARA IN SILICO SEBAGAI KANDIDAT ANTIDIABETES Taufik Muhammad Fakih; Mentari Luthfika Dewi
Media Farmasi: Jurnal Ilmu Farmasi Vol 17, No 1: Maret 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.784 KB) | DOI: 10.12928/mf.v17i1.16249

Abstract

Dipeptidyl peptidase-IV (DPP-IV) merupakan salah satu target dalam pengobatan diabetes tipe-2. Beberapa obat golongan gliptin yang tersedia secara komersial seperti sitagliptin, anagliptin, linagliptin, saxagliptin, dan alogliptin secara khusus digunakan sebagai inhibitor DPP-IV untuk pasien diabetes. Saat ini, penggunaan peptida pada protein susu kambing untuk mengobati diabetes telah dilaporkan dalam berbagai percobaan in vitro. Namun, pemahaman tentang interaksi molekuler penghambatan peptida tersebut terhadap DPP-IV masih kurang. Penelitian ini bertujuan untuk melakukan identifikasi, evaluasi, dan eksplorasi mengenai afinitas beberapa molekul peptida tersebut, yaitu MHQPPQPL, SPTVMFPPQSVL, VMFPPQSVL, INNQFLPYPY, dan AWPQYL terhadap makromolekul DPP-IV dengan menggunakan simulasi penambatan molekuler berbasis protein-peptida. Sekuensing peptida terlebih dahulu dilakukan pemodelan dengan menggunakan server PEP-FOLD. Konformasi terbaik dipilih untuk dilakukan studi interaksi terhadap makromolekul DPP-IV dengan menggunakan software HPEPDock. Identifikasi lebih lanjut dilakukan terhadap interaksi molekuler yang terbentuk dengan menggunakan software BIOVIA Discovery Studio 2020.  Berdasarkan hasil dari penambatan molekuler berbasis protein-peptida diperoleh bahwa molekul peptida INNQFLPYPY memiliki afinitas yang paling baik terhadap makromolekul DPP-IV, yaitu dengan nilai energi bebas ikatan 923,46 kJ/mol. Dengan demikian, peptida tersebut diprediksi dapat digunakan sebagai kandidat inhibitor DPP-IV.
Identifikasi Peptida Bioaktif dari Protein Kedelai sebagai Inhibitor Enzim α-glukosidase untuk Kandidat Antidiabetes Taufik Muhammad Fakih; Mentari Luthfika Dewi
Pharmacon: Jurnal Farmasi Indonesia Vol 17, No 2 (2020)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/pharmacon.v17i2.10635

Abstract

Diabetes mellitus is one of the endocrine metabolic disorders that has caused morbidity and mortality worldwide. Α-glucosidase inhibitor which plays an important role in carbohydrate metabolism is needed to avoid postprandial hyperglycemia. A bioactive peptide derived from soy protein was chosen as an alternative treatment for diabetes because of its therapeutic potential. Several bioactive peptides have been shown to inhibit the α-glucosidase enzyme, such as the bioactive peptide LLPLPVLK, SWLRL, and WLRL. This study aims to identify and evaluate molecular interactions that occur between bioactive peptide molecules and α-glucosidase enzyme macromolecules using protein-peptide docking methods through in silico. Bioactive peptide sequencing was first modeled using the PEP-FOLD software. The best conformation was chosen for an interaction study of the α-glucosidase enzyme macromolecule using HPEPDock software. Further exploration was carried out on the molecular interactions formed using BIOVIA Discovery Studio 2020 software. Based on the results of molecular docking, the WLRL bioactive peptide has the best affinity against the α-glucosidase enzyme, with a binding free energy value of −748.12 kJ/mol. Therefore, the bioactive peptide is predicted to be a suitable candidate for the α-glucosidase enzyme inhibitor.
Studi Interaksi Molekuler Aktivitas Antimikroba Peptida Bioaktif terhadap Staphylococcus aureus Secara In silico Taufik Muhammad Fakih; Mentari Luthfika Dewi
JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA Vol. 7 No. 2 (2020): JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jfiki.v7i22020.93-99

Abstract

Pendahuluan: Lendir kulit ikan lele kuning (Pelteobagrus fulvidraco), mengandung peptida bioaktif dan banyak dimanfaatkan dalam pengobatan berbagai penyakit karena memiliki aktivitas biologis, diantaranya sebagai antimikroba. Beberapa peptida bioaktif tersebut, antara lain pelteobagrin, myxinidin, pleurocidin, dan pardaxin-P1 dan telah terbukti mampu menghambat Penicillin-Binding Protein 3 (PBP3) dari Staphylococcus aureus. Tujuan: Penelitian ini bertujuan untuk mengidentifikasi aktivitas antimikroba molekul peptida bioaktif secara in silico terhadap makromolekul Penicillin-Binding Protein 3 (PBP3) dari Staphylococcus aureus dan interaksi peptida bioaktif tersebut yang terlibat dalam mekanisme aksi antimikroba. Metode: Sekuensing peptida bioaktif terlebih dahulu dilakukan pemodelan ke dalam bentuk konformasi 3D menggunakan software PEP-FOLD. Konformasi terbaik hasil pemodelan dipilih untuk kemudian dilakukan studi penambatan molekuler terhadap makromolekul dari Staphylococcus aureus menggunakan software PatchDock. Interaksi molekuler yang terbentuk selanjutnya diidentifikasi lebih lanjut menggunakan software BIOVIA Discovery Studio 2020. Hasil: Berdasarkan hasil penambatan molekuler menunjukkan bahwa peptida bioaktif myxinidin memiliki afinitas paling baik dengan ACE score −2497,26 kJ/mol. Kesimpulan: Peptida bioaktif lendir kulit ikan lele kuning (Pelteobagrus fulvidraco) dapat dipertimbangkan sebagai kandidat antimikroba alami.
In silico Identification of Characteristics Spike Glycoprotein of SARS-CoV-2 in the Development Novel Candidates for COVID-19 Infectious Diseases Taufik Muhammad Fakih; Mentari Luthfika Dewi
Journal of Biomedicine and Translational Research Vol 6, No 2 (2020): Augusts 2020
Publisher : Faculty of Medicine, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbtr.v6i2.7590

Abstract

Background: The emergence of infectious diseases caused by SARS-CoV-2 has resulted in more than 90,000 infections and 3,000 deaths. The coronavirus spike glycoprotein encourages the entry of SARS-CoV-2 into cells and is the main target of antivirals. SARS-CoV-2 uses ACE2 to enter cells with an affinity similar to SARS-CoV, correlated with the efficient spread of SARS-CoV-2 among humans.Objective: In the research, identification, evaluation, and exploration of the structure of SARS-CoV and SARS-CoV-2 spike glycoprotein macromolecules and their effects on Angiotensin-Converting Enzyme 2 (ACE-2) using in silico studies.Methods: The spike glycoproteins of the two coronaviruses were prepared using the BIOVIA Discovery Studio 2020. Further identification of the three-dimensional structure and sequencing of the macromolecular spike glycoprotein structure using Chimera 1.14 and Notepad++. To ensure the affinity and molecular interactions between the SARS-CoV and SARS-CoV-2 spike glycoproteins against ACE-2 protein-protein docking simulations using PatchDock was accomplished. The results of the simulations were verified using the BIOVIA Discovery Studio 2020.Results: Based on the results of the identification of the macromolecular structure of the spike glycoprotein, it was found that there are some similarities in characteristics between SARS-CoV and SARS-CoV-2. Protein-protein docking simulations resulted that SARS-COV-2 spike glycoprotein has the strongest bond with ACE-2, with an ACE score of −1509.13 kJ/mol.Conclusion: Therefore, some information obtained from the results of this research can be used as a reference in the development of SARS-CoV-2 spike glycoprotein inhibitor candidates for the treatment of infectious diseases of COVID-19.
STUDI IN SILICO MEKANISME AKSI SENYAWA FTALOSIANINA SEBAGAI KANDIDAT FOTOSENSITIZER DALAM TERAPI COVID-19 BERBASIS FOTODINAMIKA Taufik Muhammad Fakih; Nurfadillah Hazar; Mentari Luthfika Dewi; Tanisa Maghfira Syarza; Anggi Arumsari
Jurnal Ilmiah Farmasi Farmasyifa Vol 4, No 1 (2021)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jiff.v4i1.6784

Abstract

Sindrom pernapasan akut parah coronavirus-2 (SARS-CoV-2) yang menyebabkan pandemi penyakit infeksi COVID-19 menggunakan protein spike untuk dapat berikatan dengan reseptor angiotensin-converting enzyme 2 (ACE2) dalam sel inang. Beberapa kandidat obat yang diprediksi dapat digunakan dalam terapi COVID-19 seperti, tegobuvir, sonidegib, siramesine, antrafenine, bemcentinib, itacitinib, dan ftalosianina secara farmakologis mampu menghambat penempelan SARS-CoV-2 pada reseptor ACE2. Akan tetapi menariknya terapi fotodinamika dengan memanfaatkan senyawa ftalosianina berlabel logam saat ini dapat menjadi pilihan alternatif untuk terapi COVID-19 karena lebih efektif dan spesifik terhadap target.Melalui penelitian ini akan dilakukan identifikasi, evaluasi, dan eksplorasi afinitas serta interaksi molekular yang mampu menggambarkan mekanisme aksi dari struktur senyawa turunan ftalosianina berlabel logam secara in silico. Simulasi penambatan molekular ligan-protein antara besi ftalosianina (Fe-Pc) dan galium ftalosianina (Ga-Pc) terhadap protein spike SARS-CoV-2 dilakukan dengan menggunakan perangkat lunak PatchDock. Berdasarkan simulasi penambatan molekular ligan-protein diperoleh hasil bahwa senyawa galium ftalosianina (Ga-Pc) memiliki afinitas yang lebih baik dibandingkan besi ftalosianina (Fe-Pc) terhadap protein spike SARS-CoV-2, dengan nilai masing-masing sebesar −2366,68 kJ/mol dan −2225,55 kJ/mol. Dari hasil tersebut dapat diprediksi perbedaan struktur molekul senyawa turunan ftalosianina berlabel logam terbukti mampu mempengaruhi mekanisme aksi terhadap protein target. Dengan demikian, hasil penelitian ini diharapkan dapat menjadi referensi dalam mendesain struktur senyawa turunan ftalosianina berlabel logam sebagai kandidat fotosensitizer dalam terapi fotodinamika untuk penyakit infeksi COVID-19.
IDENTIFIKASI PROTEASE UTAMA (Mpro) SEBAGAI MAKROMOLEKUL TARGET DALAM PENGEMBANGAN KANDIDAT INHIBITOR NOVEL CORONAVIRUS 2019 (SARS-CoV-2) SECARA IN SILICO Taufik Muhammad Fakih; Mentari Luthfika Dewi
Jurnal Ilmiah Farmasi Farmasyifa Vol 3, No 2 (2020)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jiff.v3i2.5913

Abstract

Protease utama (Mpro) merupakan bagian utama pembentuk karakteristik coronavirus (SARS-CoV dan SARS-CoV-2). Kemajuan teknologi telah membuka peluang untuk menemukan kandidat senyawa inhibitor baru yang mampu mencegah dan mengendalikan infeksi COVID-19 melalui penghambatan Mpro SARS-CoV-2. Penelitian ini bertujuan untuk mengidentifikasi, mengevaluasi, dan mengeksplorasi struktur makromolekul Mpro dari kedua coronavirus tersebut secara in silico. Makromolekul Mpro terlebih dahulu dilakukan preparasi dengan menggunakan perangkat lunak BIOVIA Discovery Studio 2020. Konformasi tiga dimensi dan sekuensing dari struktur makromolekul yang telah dipreparasi kemudian diamati dan dibandingkan dengan menggunakan perangkat lunak Chimera 1.14 dan Notepad ++. Bagian sisi aktif dari makromolekul Mpro kemudian diidentifikasi dengan menggunakan perangkat lunak BIOVIA Discovery Studio 2020. Prediksi molekul inhibitor makromolekul Mpro dilakukan dengan menggunakan perangkat lunak MGLTools 1.5.6 yang dilengkapi dengan AutoDock 4.2. Berdasarkan hasil identifikasi terhadap makromolekul Mpro diperoleh hasil bahwa terdapat kemiripan struktur dan situs aktif pengikatan dari kedua makromolekul tersebut. Diprediksi bentuk molekul inhibitor dari kedua makromolekul Mpro juga identik. Dengan demikian, beberapa referensi tersebut dapat digunakan sebagai acuan dalam pengembangan kandidat inhibitor kompetitif Mpro SARS-CoV-2 untuk pengobatan penyakit infeksi COVID-19.
Identifikasi Mekanisme Molekuler Senyawa Ftalosianina sebagai Kandidat Photosensitizer pada Terapi Fotodinamika secara In Silico Taufik Muhammad Fakih; Anggi Arumsari; Mentari Luthfika Dewi; Nurfadillah Hazar; Tanisa Maghfira Syarza
ALCHEMY Jurnal Penelitian Kimia Vol 17, No 1 (2021): March
Publisher : UNIVERSITAS SEBELAS MARET (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/alchemy.17.1.41184.37-42

Abstract

Bakteri patogen seperti Pseudomonas aeruginosa membutuhkan zat besi untuk dapat mempertahankan kelangsungan hidupnya. HasAp merupakan suatu protein yang dihasilkan oleh bakteri patogen sebagai sumber zat besi tersebut. Protein HasAp selanjutnya akan berikatan dengan protein membran luar yaitu HasR untuk dapat meneruskan sinyal pada sel bakteri. Penyerapan zat besi pada bakteri patogen ini dapat menjadi strategi pengembangan metode terapi dalam mengendalikan dan mencegah penyakit infeksi yang disebabkan oleh bakteri patogen Pseudomonas aeruginosa, salah satunya dengan memanfaatkan ftalosianina sebagai photosensitizer pada terapi fotodinamika. Penelitian ini bertujuan untuk mengidentifikasi, mengevaluasi, dan mengeksplorasi mekanisme aksi senyawa ftalosianina terhadap protein HasAp, serta pengaruhnya pada bagian sisi aktif HasR dengan menggunakan studi in silico. Studi ligan-protein docking dilakukan dengan menggunakan perangkat lunak MGLTools 1.5.6 yang dilengkapi dengan AutoDock 4.2 untuk mengamati afinitas dan interaksi molekuler antara molekul senyawa Fe-ftalosianina (Fe-Pc) dan Ga-ftalosianina (Ga-Pc) terhadap makromolekul protein HasAp. Selanjutnya, studi protein-protein docking dilakukan terhadap sistem kompleks ligan-protein untuk mengamati pengaruhnya terhadap area pengikatan dari makromolekul protein HasR dengan menggunakan perangkat lunak PatchDock. Berdasarkan hasil ligan-protein docking, senyawa Fe-ftalosianina (Fe-Pc) memiliki afinitas paling baik terhadap kedua protein HasAp, yaitu dengan nilai masing-masing -68,45 kJ/mol dan -69,16 kJ/mol. Kemudian, hasil studi protein-protein docking antara kompleks senyawa Fe-ftalosianina (Fe-Pc) dan protein HasAp terhadap protein HasR memiliki nilai Atomic Contact Energy (ACE) positif, yaitu 556,56 kJ/mol. Perbedaan struktur molekul senyawa ftalosianina terbukti mampu mempengaruhi mekanisme aksi terhadap protein target, sehingga hasil studi ini dapat menjadi acuan dalam mendesain struktur senyawa ftalosianina sebagai kandidat photosensitizer dalam terapi fotodinamika.Identification of the Molecular Mechanism of Phthalocyanine Compounds as Photosensitizer Candidates in Photodynamic Therapy by In Silico. Pathogenic bacteria including Pseudomonas aeruginosa need iron elements to be able to maintain their survival. HasAp is a protein produced by pathogenic bacteria as a source of iron. The HasAp protein will then bind to the outer membrane protein, namely HasR, to be able to forward signals in bacterial cells. Absorption of iron in these pathogenic bacteria can be a strategy for developing therapeutic methods in controlling and preventing infectious diseases caused by pathogenic bacteria Pseudomonas aeruginosa, one of which is by using phthalocyanine as a photosensitizer in photodynamic therapy. This study aims to identify, evaluate, and explore the mechanism of action of phthalocyanine compounds against HasAp proteins, and their effects on the active site of HasR through in silico studies. Ligand-protein docking studies were performed using MGLTools 1.5.6 with AutoDock 4.2 to observe the affinity and molecular interactions between molecules of Fe-phthalocyanine (Fe-Pc) and Ga-phthalocyanine (Ga-Pc) against HasAp protein macromolecules. Furthermore, a protein-protein docking study of the ligand-protein complexes system was simulated to observe its effect on the binding area of the HasR protein macromolecules using PatchDock. Based on the ligand-protein docking results, Fe-phthalocyanine (Fe-Pc) compounds have the best affinity for both HasAp proteins, with a binding energy value of -68.45 kJ/mol and -69.16 kJ/mol, respectively. The protein-protein docking study results between the complex compound Fe-phthalocyanine (Fe-Pc) and HasAp protein against HasR protein have a positive Atomic Contact Energy (ACE) value, with an ACE value of 556.56 kJ/mol. Differences in the molecular structure of phthalocyanine compounds are proven to be able to influence the mechanism of action against the target protein. Therefore, the results of this study can be a reference in designing the structure of phthalocyanine compounds as photosensitizer candidates in photodynamic therapy.
Co-Authors Alma Khusnu Tazkia Anggi Arumsari Aulia Fikri Hidayat Bella Mega Silvia Dwi Syah Fitra Ramadhan Eky Syahroni Fitrianti Darusman Hilda Aprilia, Hilda Huriah Rachmah Lasmanah Muhammad Lucky Fahrezi Nurfadillah Hazar Resty Imfyani Sofyan Riza Ramadhan Robby Prayitno Septiani Melawati Dewi Tanisa Maghfira Syarza Taufik Muhammad Fakih