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All Journal Cermin Dunia Kedokteran Trends in Infection and Global Health Cermin Dunia Kedokteran
Stefanus Bernard
Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Indonesia
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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The Role of Bioinformatics in Personalized Medicine: Your Future Medical Treatment Margareta Deidre Valeska; Gabriella Patricia Adisurja; Stefanus Bernard; Renadya Maulani Wijaya; Muhammad Aldino Hafidzhah; Arli Aditya Parikesit
Cermin Dunia Kedokteran Vol 46, No 12 (2019): Kardiovaskular
Publisher : PT. Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55175/cdk.v46i12.402

Abstract

Bioinformatika berperan sangat penting dalam personalized medicine. Dua metode penting dalam kajian ini adalah randomized algorithm dan computer assisted drug design (CADD). Kajian ini membahas aplikasi, kekurangan, dan masa depan kedua metode tersebut. Saran-saran untuk meningkatkan efek riset bioinformatika dalam kajian personalized medicine juga akan ditelaah.Bioinformatics is beneficial in personalized medicine. Two methods stand out, the randomized algorithm and computer assisted drug design (CADD). This article will discuss the application, pitfalls, and eventual future of those two methods. Suggestion to improve the clarity of the bioinformatics research in the field of personalized medicine will also be reviewed.
The Role of Bioinformatics in Personalized Medicine: Your Future Medical Treatment Margareta Deidre Valeska; Gabriella Patricia Adisurja; Stefanus Bernard; Renadya Maulani Wijaya; Muhammad Aldino Handzhah; Arli Aditya Parikesit
Cermin Dunia Kedokteran Vol 46 No 12 (2019): Kardiovakular
Publisher : PT Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55175/cdk.v46i12.399

Abstract

Bioinformatics is beneficial in personalized medicine. Two methods stand out, the randomized algorithm and computer assisted drug design (CADD). This article will discuss application, pitfalls, and future of those two methods. Suggestion to improve the clarity of the bioinformatics research in the field of personalized medicine will also be reviewed. Bioinformatika berperan sangat penting dalam personalized medicine. Dua metode penting dalam kajian ini adalah randomized algorithm dan computer assisted drug design (CADD). Kajian ini membahas aplikasi, kekurangan, dan masa depan kedua metode tersebut. Saran-saran untuk meningkatkan efek riset bioinformatika dalam kajian personalized medicine juga akan ditelaah.
3D molecular structure analysis of NS2B/NS3 proteases derived from dengue virus and Zika virus Arli Aditya Parikesit; Stefanus Bernard
Trends in Infection and Global Health Vol 2, No 1 (2022): June 2022
Publisher : School of Medicine, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tigh.v2i1.25485

Abstract

Both dengue and Zika viruses have infected millions of people worldwide, urging the development of efficacious drugs and vaccines to fight the infection. Unfortunately, current research is yet to elucidate the structural proteomics comparison of the NS2B/NS3 from both viruses. Therefore, the main objective of this study was to comparatively study the structural proteins between dengue and Zika viruses by leveraging standard homology modelling tools. Our data provide 3D molecular structure overviews of NS2B/NS3 derived from the foregoing viruses. Sequence alignment indicated that the viruses share a 56% similarity rate of protein structures. However, in terms of function, both have NS2B that is pivotal for the activation of NS3 proteases.
The Role of Bioinformatics in Personalized Medicine: Your Future Medical Treatment Margareta Deidre Valeska; Gabriella Patricia Adisurja; Stefanus Bernard; Renadya Maulani Wijaya; Muhammad Aldino Handzhah; Arli Aditya Parikesit
Cermin Dunia Kedokteran Vol 46 No 12 (2019): Kardiovakular
Publisher : PT Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55175/cdk.v46i12.399

Abstract

Bioinformatics is beneficial in personalized medicine. Two methods stand out, the randomized algorithm and computer assisted drug design (CADD). This article will discuss application, pitfalls, and future of those two methods. Suggestion to improve the clarity of the bioinformatics research in the field of personalized medicine will also be reviewed. Bioinformatika berperan sangat penting dalam personalized medicine. Dua metode penting dalam kajian ini adalah randomized algorithm dan computer assisted drug design (CADD). Kajian ini membahas aplikasi, kekurangan, dan masa depan kedua metode tersebut. Saran-saran untuk meningkatkan efek riset bioinformatika dalam kajian personalized medicine juga akan ditelaah.
Co-Authors Arli Aditya Parikesit Arli Aditya Parikesit Gabriella Patricia Adisurja Margareta Deidre Valeska Muhammad Aldino Hafidzhah Muhammad Aldino Handzhah Renadya Maulani Wijaya