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MORPHOLOGICAL VARIATION OF MALAYOPYTHON RETICULATUS (SCHNEIDER, 1801) FROM SEVERAL POPULATION IN INDONESIA Septiadi, Luhur; Fathoni, M; Hanifa, Berry Fakhry; Hamidy, Amir
Journal of Tropical Life Science Vol 9, No 3 (2019)
Publisher : Journal of Tropical Life Science

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Abstract

Reticulated python (Malayopython reticulatus) is a widely distributed snake covering throughout Southeast Asia and almost all of Indonesia archipelago and divided into several subspecies based on morphological variation and its locality. Morphological variation data of M. reticulatus from Indonesia population has never been done thoroughly. This study aims to determine the morphological variations based on 21 meristic and 3 morphometric characters from several populations in Indonesia. The data was collected from the Museum Zoologicum Bogoriense (MZB) Cibinong, Indonesia and other additional collections that are carried out from June to July 2018 and then analyzed by Principal Component Analysis (PCA) to determine the population grouping. The result showed a high variation on the scale range of anterior prefrontal, posterior prefrontal, frontal, parietal, preocular, postocular, loreal, temporal, upper labial, lower labial, and dorsal scales. Ventral and subcaudal scales in male and female specimens show high variation in the total scale count, the ratio comparison of tl: SVL measurement, indicated the sexual dimorphism. Prefrontal (anterior-posterior) and frontal scales show high variation and difficult to distinguish between each locality at the subspecies level and suggest it to be intra-specific variation. There is no significant grouping were found between populations from data on morphological variations.
STRUKTUR KOMUNITAS ORDO ANURA DI LOKASI WISATA BEDENGAN DESA SELOREJO KECAMATAN DAU KABUPATEN MALANG Devi, Sandra Rafika; Septiadi, Luhur; Erfanda, Muhammad Prayogi; Hanifa, Berry Fakhry; Firizki, Dinda Tinalanisari; Nadhori, Qoyin
Jurnal Riset Biologi dan Aplikasinya Vol 1, No 2 (2019)
Publisher : Universitas Negeri Surabaya

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Amfibi (Ordo Anura) merupakan bagian dari komponen ekosistem yang memiliki peranan sangat penting. Penelitian ini bertujuan untuk menganalisis struktur komunitas Ordo Anura di Lokasi Wisata Bedengan daerah Kabupaten Malang. Metode yang digunakan adalah Visual Encounter Survey (VES) yang dikombinasikan dengan purposive sampling melalui  jalur akuatik yang dibagi menjadi 2 zona yaitu 300×5 meter di bagian atas jembatan dan 300×5 meter di bagian bawah jembatan. Penelitian dilakukan sebelum musim penghujan, penghujan awal, dan penghujan, pada bulan Oktober-Desember 2018. Data yang diperoleh dianalisis dengan menggunakan indeks keanekaragaman Shannon-Wiener, kepadatan dan kepadatan relatif. Hasil penelitian menunjukkan bahwaempat famili yang berhasil diidentifikasi yang meliputi Famili Ranidae, Bufonidae, Microhylidae, dan Megophrydae.  Perhitungan indeks keanekaragaman di Bedengan menunjukkan nilai yang rendah yakni sebesar 0,96. Kepadatan dan kepadatan relatif mengalami kenaikan dimulai dari sebelum penghujan, penghujan awal dan pada saat musim penghujan, akan tetapi keanekaragaman mengalami fluktuasi.
The In Silico Analysis and Identification of Possible Inhibitor of H5N1 Virus: Compounds Analysis and Identification of Possible Neuraminidase Inhibitors Syafrudin, Syafrudin; Septiadi, Luhur; Alfaruqi, Nuri Thobibatus Shofia; Wahyudi, Didik; Kharisma, Viol Dhea
Bioinformatics and Biomedical Research Journal Vol. 1 No. 2 (2018): Volume 1 Issue 2
Publisher : Future Science

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Fingerroot (Boesenbergia pandurata (Roxb.)) belongs to the family Zingiberaceae (Ginger). B. pandurata has pharmacological benefits such as neuroprotective, chemoprotective, anti-inflammatory, anti-angiogenic, antioxidant, an inhibitor of protease enzyme NS2B/NS3 dengue virus, Japanese encephalitis virus and swine flu virus (H1N1). This study aims to determine the most effective compounds from B. pandurata as neuraminidase inhibitors of H5N1 virus. The amino acid sequence for neuraminidase of avian influenza A virus subtype H5N1 of A/China/GD02/2006 was retrieved from protein sequence database at NCBI. Then, modeled by Swiss Model. Analyse of molecular docking was performed using PyRx and the interactions between neuraminidase inhibitors of H5N1 and B. pandurata active compound was analyzed by PyMol software and LigPlot+ software. From the 30 active compounds which have been docked, 4-hydroxypanduratin A, rubranine, boesenbergin B, boesenbergin A, 5,7-dimethoxyflavone, and tectochrysin had an equal or smaller free binding energy than control compound. 4-hydroxypanduratin A proved to be the most potent active compound as a neuraminidase inhibitor (NA 1) because it has the most negative binding energy and the same amino acid binding residue with the control compound. Therefore, 4-hydroxypanduratin A is predicted to be used as inhibitors of neuraminidase in the H5N1 virus.
Prediction of Novel Bioactive Compound from Zingiber officinale as Non-nucleoside Reverse Transcriptase Inhibitors (NNRTIs) of HIV-1 through Computational Study Kharisma, Viol Dhea; Septiadi, Luhur; Syafrudin, Syafrudin
Bioinformatics and Biomedical Research Journal Vol. 1 No. 2 (2018): Volume 1 Issue 2
Publisher : Future Science

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Human immunodeficiency virus 1 (HIV-1) is one of the viruses of that causes AIDS in humans and disease outbreaks in this modern era. Reverse transcriptase (RT) enzyme though to be the functional enzyme that play a role on the HIV-1 virus replication. Bioactive compounds contained on Ginger (Zingiber officinale) is known to inhibit viral replication. This study aims to determine the alternative bioactive compounds contained on Ginger (Zingiber officinale) as as a non-nucleoside reverse transcriptase (NNRTIs) HIV-1 inhibitors through computational study. The reverse transcriptase (RT) enzyme model was retrieved from protein sequence database (PDB) and validated with Ramachandran Plot and the compound contained on Ginger was retrieved from database. Analysis of molecular docking, performed using PyRx and the interactions between Reverse Transcriptase (RT) enzyme of HIV-1 virus and Zingiber officinale active compound was analyzed by PyMol and LigPlot+, also the drug-likeness molecule properties with The Lipinski Rule’s of Five. From 24 active compound which have been docked, ?-sitosterol proven to be the most potential bioactive compound as inhibitors of Reverse Transcriptase (RT) enzyme because it has more negative binding energy and the same amino acid residue with the control. Therefore, ?-sitosterol is predicted to be used as non-nucleoside reverse transcriptase (NNRTIs) HIV-1 inhibitors.