Journal of Biochemical Technology

ISSN: 0974-2328
DOI Prefix: 10.51847

Welcome to the Journal of Biochemical Technology, a prestigious international double-blind peer-reviewed journal dedicated to advancing excellence in biochemical, biotechnological, and bioinformatics research with direct applications in biology and medicine. We are committed to maintaining the highest standards of scientific integrity, providing authors with a trusted platform to publish high-quality, impactful research. Our quarterly publication schedule ensures the timely dissemination of important discoveries, promoting the exchange of innovative ideas and developments among researchers worldwide.
Focusing on critical areas such as enzymatic mechanisms, protein engineering, molecular genetics, medical biotechnology, computational biology, genomics, and proteomics, our journal serves as a specialized platform for researchers working at the intersection of biochemistry and biotechnology. The journal is particularly interested in research with biomedical and therapeutic applications, including drug discovery, gene therapy, and cancer research.
Our dedicated editorial team offers full support throughout the submission and publication process, providing guidance on experimental design, data analysis, formatting, and submission procedures. We invite researchers, scholars, and practitioners to contribute to the advancement of biochemical technology, as we collectively work toward solving complex medical and scientific challenges. Our archiving policy includes both the publisher and a secondary database.

Publication Schedule: Quarterly (4 issues per year).

Announcement and Advertisement 
Announcements regarding scientific activities such as conferences, symposium, are published for free. Advertisements can be either published or placed on website as banners.

 

Publisher:

Deniz Publication
Guzelyali Mah. Sahilyolu Cad.Defne Sok. No: 7, 34903 Pendik, Istanbul, Turkey.

Email: [email protected]

Tell: +905344990778

Latest Articles
Diagnosis of Neonatal Brain Pathologies: Analysis of the Effectiveness of Deep Learning Algorithms and Expert Evaluation
Diagnosis of Neonatal Brain Pathologies: Analysis of the Effectiveness of Deep Learning Algorithms and Expert Evaluation
Written by Arina Railievna Krasnoshchekova   Published on Issue 4 Vol 16, 2025
The purpose of this scientific work is to conduct a comparative analysis of the diagnostic effectiveness, time, and economic indicators of deep learning algorithms and expert assessment in the diagnosis of brain development abnormalities in newborns according to neuroimaging data from the UNICEF BIGH dataset. In a retrospective study, 300 ultrasound and MRI scans were used. Each case was independently analyzed by the U-Net segmentation model, the EfficientNet classification model, a group of und Read More

Issue 1 Volume 17 - 2026