Scholars develop new technology to decode gene transcription facilitating discovery of targeted therapy drugs | 1/16/2018 | Staff
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A research team from the School of Chinese Medicine (SCM) of Hong Kong Baptist University (HKBU) has developed the world's first model framework and "LogicTRN" algorithm to accurately establish a gene regulatory route to analyse the genetic function and understand the biological processes that are responsible for the development of organs, progression of diseases and other complex biological events such as aging. Such a new mechanism could help efficiently locate the key regulatory route for complicated diseases, thereby facilitating the research and development of targeted therapy drugs. The research team has successfully applied the new integrative approach to analyse breast cancer and characterise the logical relations among transcription factors (TFs) in regulating biological processes. The work was recently published in the prestigious academic journal Nature Communications.

Professor Lyu Aiping, Dean of SCM, HKBU, Professor Zhang Ge, Director of Technology Development Division and Associate Director of Teaching and Research Division (CMTR), and Dr. Zhu Hailong, Assistant Professor of CMTR, are leading a bioinformatics team to investigate the gene regulatory mechanisms through computational modeling techniques and big data analytics.

Professor - Lyu - Aiping - Scientists - Amounts

Professor Lyu Aiping said that scientists have generated vast amounts and various types of biological big data; therefore, effective computational approaches must be developed to integrate and analyse such data so as to generate useful information for understanding the core mechanism of biological processes. It was difficult in the past to develop a reliable relationship for gene regulation due to the lack of a theoretical model. "LogicTRN" is a model structure developed based on the biological process in which its parameters have significant meaning for the field of biology and its conclusion could be verified through experiments. Therefore, the application of LogicTRN has key implications on learning more about the gene regulatory mechanism during biological processes.

Dr. Zhu Hailong said that TFs are functional proteins that...
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