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Study of Xylose as Product Inhibitor in Xylanase from Aspergillus niger, Basillus subtilis, and Tricodherma reesei: Insilico and Experimental Review Approach Sigit Hadiantoro; Dyah Ratna Wulan; Amiruz Zahidin; Yanty Maryanty
The Journal of Pure and Applied Chemistry Research Vol 11, No 2 (2022): Edition May-August 2022
Publisher : Chemistry Department, The University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpacr.2022.011.02.639

Abstract

Bioinformatics is useful for solving molecular biology problems computationally. This computational chemistry has the advantage of being safe, free from chemical waste, secure, cost-effective, and can shorten research time. The issues that arise can be in the form of basic things such as solving enzyme mechanisms, protein metabolism, or identifying microbes. Degradation of the xylanase enzyme using some microorganisms. They are Aspergillus niger, Bacillus subtilis, and Thricodherma reesei on lignocellulose bonds. Lignocellulose consists of lignin, cellulose, and hemicellulose. Cellulose and hemicellulose can have used to produce new products such as bio-based products. To predict the optimum conditions for this enzymatic reaction has used bioinformatics applications has used through substrate enzymes obtained from protein data banks. The purpose of this study was to determine the optimum conditions for obtaining xylanase enzymes from the microorganisms Aspergillus niger, Bacillus subtilis, and Thricodherma reesei by bioinformatics (in silico). This research was conducted in bioinformatics using a database from the RCSB Protein Data Bank and PubChem. The programs used to see the interaction between substrate enzymes in this study are PyMol, PyRx, and LigPlot. The best conditions based on the results of bioinformatics simulations will form the basis for producing xylanases on a laboratory scale. In this study, the results of interaction data between Bacillus subtilis and D-xylose, which have a binding affinity value of -5.2 kcal/mol.  Aspergillus niger with D-xylose, which has a binding affinity value of -5.1 kcal/mol, Tricodherma reesei with D-xylose, which has binding affinity value -4.3 kcal/mol.
BIMBINGAN TEKNIS PENGUJIAN FORMALIN PADA MAKANAN UNTUK KERURAHAN POHJENTREK KOTA PASURUAN achmad chumaidi; Yanty Maryanty; Dyah Ratna Wulan; Sabrina Adani Putri
Jurnal Pengabdian Kepada Masyarakat (J-ABDIMAS) Vol 9 No 1 (2022): JURNAL PENGABDIAN KEPADA MASYARAKAT 2022
Publisher : Publisher UPT P2M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jabdimas.v9i1.180

Abstract

PKM is carried out with the aim of mentoring in the form of education regarding the characteristics of formalin food and the impact of formalin on health, how to make your own formalin test kit.PKM is carried out in the form of guidance in the form of education regarding the characteristics of formalin food and the impact of formalin on health, how to make your own formalin test kit, and community training to identify formalin foods. This training was carried out by an online teleconference between the PkM implementing lecturers and the residents of Pohjentrek Pasuruan considering the COVID-19 pandemic was still ongoing, which was followed by the direct submission of modules related to the formalin test (containing information about the dangers of using formalin in food, how to make a formalin test kit and how to test formalin) and delivery formalin test kit solution.