Ellin Febrina
Fakultas Farmasi, Universitas Padjadjaran

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Identifikasi Pola Penggunaan Antibiotik sebagai Upaya Pengendalian Resistensi Antibiotik Ivan S. Pradipta; Ellin Febrina; Muhammad H. Ridwan; Rani Ratnawati
Indonesian Journal of Clinical Pharmacy Vol 1, No 1 (2012)
Publisher : Universitas Padjadjaran

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Abstract

AbstrakPenelitian ini bertujuan untuk menetapkan jumlah dan pola penggunaan antibiotik pada pasien rawat inap di salah satu rumah sakit swasta di Bandung. Data penggunaan antibiotik diperoleh dari instalasi farmasi pada Februari–September 2011. Data diolah dengan metode ATC/DDD dan DU90%. Terdapat 390,98 DDD/100 hari rawat dan 381,34 DDD/100 hari rawat pada total penggunaan antibiotik tahun 2009 dan 2010. Sebanyak 39 jenis antibiotik dikonsumsi pada tahun 2009 dan terdapat 11 jenis antibiotik yang masuk segmen 90% penggunaan (seftriakson, amoksisilin, sefotaksim,  iprofloksasin, levofloksasin, metronidazol, sefiksim, doksisiklin, tiamfenikol, sefodoksim, sefaleksin). Tahun 2010 terdapat 44 jenis antibiotik yang dikonsumsi, 18 jenis antibiotik yang masuk segmen 90% penggunaan (seftriakson, siprofloksasin, amoksisilin, sefiksim, levofloksasin, sefadroksil, sefotaksim, metronidazol, tiamfenikol,doksisiklin, klindamisin, kloramfenikol, amikasin, sulbaktam, gentamisin, streptomisin, sefoperazon, kanamisin). Terdapat penurunan penggunaan antibiotik yang diikuti penurunan jumlah hari rawat pada tahun 2009–2010, tetapi jenis dan jumlah antibiotik yang masuk ke dalam segmen 90% penggunaan meningkat.Kata kunci: Penggunaan antibiotik, ATC/DDD, DU90%, resistensi antibiotikIdentification of Antibiotic Use Pattern as an Effort to ControlAntibiotic ResistanceAbstractThe objective of this study is to determine quantity and pattern of antibiotic use in hospitalized patients at one of Bandung’s private hospital that can give benefit in control of antibiotic resistance andprocurement planning of antibiotic. Data of antibiotic consumption were obtained from hospital pharmacy department on February–September 2011. Data were processed using the ATC/DDD and DU90% method. There were 390,98 DDD/100 bed days and 381,34 DDD/100 bed days total of an-tbiotic use in 2009 and 2010. Thirty nine antibiotic were consumed in 2009 within 11 kind of antibiotics in DU90% segment (ceftriaxone, amoxicillin, cefotaxime, ciprofloxacin, levofloxacin, metronidazole, cefixime, doxycycline, thiamphenicol, cefodoxime, cefalexin) and 44 antibiotic were consumed in 2010 within 18 kind of antibiotics in DU90% segment (ceftriaxone, ciprofloxacin, amoxicillin, cefixime, levofloxacin, cefadroxil, cefotaxime, metronidazole, thiamphenicol, doxycycline, clindamycin, chloramphenicol, amikacin, sulbactam, gentamycin, streptomycin, cefoperazone, canamycin). There were decline of antibioticuse that followed decline number of bed days/year in 2009–2010, but in both antibiotic kind and quantity of DU90% antibiotic group were increased.Key words: Antibiotic utilization, ATC/DDD, DU90%, antibiotic resistance
PENAPISAN VIRTUAL BERBASIS STRUKTUR DARI DATABASE BAHAN ALAM ZINC SEBAGAI INHIBITOR BRUTON TYROSINE KINASE Fauzan Zein Muttaqin; Wayan Ayu Puje Astuti; La Ode Aman; Ellin Febrina; Aiyi Asnawi
Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Vol 4 No 2 (2019): JIIS
Publisher : Sekolah Tinggi Ilmu Kesehatan ISFI Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.31 KB) | DOI: 10.36387/jiis.v4i2.354

Abstract

Bruton’s tyrosine Kinase (BTK) plays a critical role in many cellular signalling pathways making it a potential target to treat autoimmune diseases and cancer. In this study, we have implemented structure-based virtual screening against natural product ZINC database by using pharmacopore model followed by molecular docking to identified the inhibitor of BTK (PDB ID 6E4F). By using structure based pharmacophore, a four-point pharmacophore hypothesis was derived, with three hydropobic, one aromatic rings, four hydrogen bond acceptor and nine hydrogen bond donor. Screening of 12 natural product ZINC databases (151,837 compounds) against pharmacophore returned 1,345 hits with matching chemical features of 58.81. Docking these hits against the ATP-binding site of the BTK kinase domain through a virtual screening docking-based by using vina wizard and autodock wizard (PyRx 8.0) returned 148 and 75 hits, respectively. Three hit compounds with high affinity towards BTK were identified, and it could be used as a potent lead molecule for designing BTK inhibitor.