It is reported that scientists from the Research Institute of Food and Agriculture of California recently presented the latest project technology named “deep integration”, which can analyze the binding method of proteins and DNA through the machine learning technology. Additionally, the latest technology can also detect those disease-causing mutations that might block cellular processes to a larger degree.
A senior researcher named Brendan Frei, from the Research Institute of Food and Agriculture of California, has developed a new technology method to find out the disease-causing mutations, namely the “deep learning” technology. Technically, it might be based on a certain machine and technological means. “Deep learning” technology is first raised by members from the research institute; they developed the idea through a research project called neutral computation and adaptive perception. Nowadays, the technology has been widely used in many companies, such as Google, Facebook, and so on.
In fact, there are numerous proteins in human cells. Those proteins are connected with DNA and RNA, and take control of the gene expression. Researcher Allipana holds the idea that proteins are the major controller of the cells. However, as for most proteins, they are particular about the choice upon binding gene sequence. Furthermore, “deep integration” can conduct screening and analysis of those complex experimental data, then deciding a suitable DNA sequence. After that, it will choose a new sequence to calculate the possibility of such binding. Thus, once a certain sequence exists mutation, “deep integration” is able to analyze whether the protein binding has been changed. It is very important because such change might cause the increase of protein binding point, alter gene expression and then lead to the occurrence of various diseases. Certainly, in terms of diverse biological technologies, “deep integration” technology is merely one of the kind. Good professional knowledge in biology field is necessary for the research of developing more technological projects. These modern biotechnologies will lead to revolutionary changes in the realm of health care and precision medicine, which is certainly a major turning point in biology.
In recent years, researchers intend to use professional knowledge in “deep integration” technology for the purpose of improving human splicing code, which greatly expands scientists’ analysis on various types of mutations. Moreover, aquaporin membrane technology has been introduced by many countries like China, which has marked a revolutionary progress in protein technology. Biotechnology will change the whole world!