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Production of Human Metabolites of Atorvastatin by Bacterial CYP102A1 Peroxygenase
Fikri Ainur Risma Hardiyanti O,Thi Huong Ha NGUYEN,Chul-Ho YUN 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Atorvastatin is a widely used statin drug that prevents cardiovascular disease and treats hyperlipidemia. Its human metabolites are 2-OH and 4-OH atorvastatin, which also show highly inhibiting effects on 3-hydroxy-3-methylglutaryl-CoA reductase activity. Producing the hydroxylated metabolites by enzymes and whole-cell biotransformation is more desirable than chemical synthesis. Here, we have found an enzymatic strategy of P450 enzymes for a highly efficient synthesis of the 4-OH atorvastatin, which is an expensive commercial product, by using bacterial CYP102A1 peroxygenase activity with hydrogen peroxide without NADPH. We obtained a set of CYP102A1 mutants with high catalytic activity toward atorvastatin using enzyme library generation, HTS of highly active mutants, and an enzymatic characterization of the mutants. This result shows that CYP102A1 can catalyze atorvastatin 4-hydroxylation by peroxide-dependent oxidation with high catalytic activity. Taken together, we suggest that the P450 peroxygenase activity can be used to produce drugs’ metabolites for further studies of their efficacy and safety.
Ahmad Fikri Hadi Abdul Rahman,Zulsyazwan Ahmad Khushairi,Mazrul Nizam Abu Seman,Mohamed Khayet 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.11
Commercial nanofiltration polyethersulfone (NF2) membrane was modified via ultraviolet (UV) photografting to prepare a high-performance forward osmosis (FO) membrane. The optimized condition of grafting parameters was obtained using central composite design (CCD) and response surface methodology (RSM). UV-photografting time and acrylic acid (AA) monomer concentration were the considered variables, while the two RSM responses were water permeate flux and reverse salt diffusion flux (RSD). Quadratic models were established between the responses and the independent parameters using analysis of variance (ANOVA). The membranes were characterized with functional group, morphology and surface roughness. The obtained optimum conditions were 2.81min grafting time and 27.85 g/L AA monomer concentration. Under these conditions, a maximum water permeate flux of 1.52±0.04 L/m2·h was achieved with an RSD value of 10.09±0.36 g/m2·h. The optimized membrane exhibited a higher water flux compared to the unmodified NF2 membrane without any significant change of the RSD value.
Khodzori Fikri Akmal,Saad Shahbudin,Mohd Hanapiah Muhammad Faiz,Yusof Muhammad Hamizan 한국해양과학기술원 2019 Ocean science journal Vol.54 No.3
The species lists of scleractinian hard corals in Peninsular Malaysia have not been updated for 15 years. The present study aimed to determine the diversity and abundance patterns of scleractinian hard corals at twenty eight fringing reef sites along the coast of Redang and Tioman Islands. Visual photograph analyses of the coral video transect method revealed a total of 128 species from 47 genera in Redang and 239 species from 55 genera in Tioman. Following recent taxonomy of scleractinian corals, coral surveys and past studies revealed a total of 166 species from 53 genera in Redang and 350 species from 67 genera in Tioman. Current data at both islands presented a total of 358 species from 69 genera and 15 families of scleractinian corals with an additional 8 new species records for the east coast of Peninsular Malaysia. Acropora, Montipora and Porites were the most dominant genera and were found distributed within the coral assemblages. The reefs around both islands can be categorized under “good” coral conditions with the live corals cover from 40.9% to 73.5%. Overall findings indicated that the less affected reef zones by coastal development and human activities at both islands have established good coral conditions and coral genera diversity.
Developing Machine Learning-based Mobile Application to Identify Ingredients of Korean Street Food
Rifqi Muhammad Fikri,황민태 사단법인 미래융합기술연구학회 2020 아시아태평양융합연구교류논문지 Vol.6 No.6
The tourist experience is highly affected by the local cuisine of a particular region. However, limited knowledge of local food can be challenging for tourists because they are mostly unfamiliar with the local language. This may increase the disliking tendencies toward a local culinary setting and impact the traveling experience. Therefore, in this study, we propose a mobile application to provide information about the local Korean street food ingredients. This mobile application performs real-time object detection based on Mini-YOLOv3, a lightweight version of YOLOv3 object detection, which aims to run on embedded devices such as mobile phones. The proposed mobile application can identify Korean food items based on the input images and displays the food name and ingredient list to the user. The system was tested in a PC environment and it demonstrated a detection accuracy of 68.25% along with fast testing speed. This study aims to provide future research direction for mobile phone-based real-time object detection.
Handicapped Parking Area Violation Prevention System with Internet of Things
Rifqi Muhammad Fikri,Mintae Hwang 한국정보통신학회 2021 2016 INTERNATIONAL CONFERENCE Vol.12 No.1
This paper proposes a management system that prevents parking violation of handicapped parking areas with the internet of things (IoT) and mobile application. Hardware modules installed in the parking area can detect approached vehicles and warn them with an alarm if an unauthorized driver parks in the handicapped parking area. A smartphone application will be developed as an identification tool for authorization of registered handicapped users using a QR code scan feature to scan the handicapped parking permit stickers. This system is expected to prevent parking violations and simplify the handicapped parking system"s operations by improving service quality in handicapped parking.
DetGas: A Carbon Monoxide Gas Leakage Detector Mobile Application
Kamaruddin, Farhan Fikri Mohd,Hadiana, Ana,Lokman, Anitawati Mohd International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.11
Many incidents of Carbon Monoxide (CO) poisoning have occurred because of people being unaware of its presence. There are currently available systems on the market, but they are limited to measuring CO in a certain area and lack vital functions. Additionally, little to no evidence-based information on their quality was available. Thus, a mobile application for detecting CO gas leakage in a vehicle and critical features to assist victims was developed. A usability and functionality test were conducted to determine the product's quality utilizing nine usability and six functionality task scenarios (n=5). Then, a System Usability Scale test was performed to obtain system satisfaction, usability, and learnability (n=50). The usability and functionality test shows that all the tasks given for both tests were 100% successful. The overall score obtained for SUS was 71.4, which indicates good acceptance and usability. Around 20% of respondents claimed that they would need the support of a technical person to be able to use the application and that they needed to learn a lot of things before they could use the application, which indicates the overall high learnability of the application. The result provides empirical evidence that the CO gas leakage detection mobile application is successful and receives good usability, functionality, acceptability, learnability, and satisfaction assessments. DetGas could benefit automobile owners and other stakeholders by mitigating the risk and harm associated with gas leaking that exceeds the safe limit.
Electric Vehicle Waiting Time Prediction with OpenCV and Support Vector Regression
Rifqi Muhammad Fikri,황민태 사단법인 미래융합기술연구학회 2020 아시아태평양융합연구교류논문지 Vol.6 No.10
This paper proposes a system that aimed to solve the lack of a charging station infrastructure by providing waiting time information to electric vehicle (EV) drivers for optimal charging options. This system determines the number of vehicle movements, such as entering or leaving the charging station in real-time. Furthermore, the Changwon National University area's charging station is simulated with a PC server and camera as the real-time video input; the OpenCV and MobileNet SSD object detection network is used to detect and track vehicle movements in the charging station, and the Firebase real-time database is used as the server. For the mobile application, maps featured with Kakao Maps API in the user interface are installed. In addition to the information regarding the current status of the charging station, a prediction system with Support Vector Regression (SVR) was added so that EV drivers can schedule charging ahead of time. Therefore, the proposed system aimed to assist EV drivers in navigation and reduce waiting times for charging. The simulation was conducted to evaluate the proposed system performance and got an average time-response result of 7.77 seconds from the moment EVs were detected until it was displayed in the mobile application interface.