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In Silico Pcr
On the method of "polymerase chain reaction on silicon"
"In silico polymerase chain reaction" (In Silico Pcr) is one of the important methods in biochemical research today. It is based on computer simulation to explore the mystery of polymerase chain reaction in a virtual environment.
The beauty of this method is that it does not require complicated experimental equipment or real biological samples. It only uses the known genetic sequence to simulate the combination of primers and templates, chain extension and other reactions by computer program. If you want to study the amplification of a specific gene, you can enter the genetic sequence into the computer, and then set the parameters of the primer, such as length, base composition, and unlinking temperature. The program then simulates the complementary pairing of primers and templates according to the set rules. It is like in an invisible test tube. Observe how the primer finds its target check point and synthesizes the starting chain.
By observing its use, the specificity of the primer can be pre-evaluated. If the primer binds to multiple non-target sequences in the simulation, its specificity can be determined to be poor, and its design needs to be adjusted. In this way, the mismatch of primers during the experiment can be avoided, and material resources, financial resources and time can be saved. The influence of different reaction conditions on amplification, such as temperature and ion concentration, can also be explored. Knowing the law of its change, the optimal reaction conditions can be obtained during the experiment, and the efficiency and success rate of amplification can be increased.
"Polymerase Chain Reaction on Silicon" is wonderful, but it has its limitations. Virtual simulations are ultimately not real experiments, and the actual biological system is complex and abnormal, and many factors are difficult to show in the simulation. However, in the initial stage of research, it provides important guidelines for experimental design and optimization, which is an indispensable method for biochemical research.
"In silico polymerase chain reaction" (In Silico Pcr) is one of the important methods in biochemical research today. It is based on computer simulation to explore the mystery of polymerase chain reaction in a virtual environment.
The beauty of this method is that it does not require complicated experimental equipment or real biological samples. It only uses the known genetic sequence to simulate the combination of primers and templates, chain extension and other reactions by computer program. If you want to study the amplification of a specific gene, you can enter the genetic sequence into the computer, and then set the parameters of the primer, such as length, base composition, and unlinking temperature. The program then simulates the complementary pairing of primers and templates according to the set rules. It is like in an invisible test tube. Observe how the primer finds its target check point and synthesizes the starting chain.
By observing its use, the specificity of the primer can be pre-evaluated. If the primer binds to multiple non-target sequences in the simulation, its specificity can be determined to be poor, and its design needs to be adjusted. In this way, the mismatch of primers during the experiment can be avoided, and material resources, financial resources and time can be saved. The influence of different reaction conditions on amplification, such as temperature and ion concentration, can also be explored. Knowing the law of its change, the optimal reaction conditions can be obtained during the experiment, and the efficiency and success rate of amplification can be increased.
"Polymerase Chain Reaction on Silicon" is wonderful, but it has its limitations. Virtual simulations are ultimately not real experiments, and the actual biological system is complex and abnormal, and many factors are difficult to show in the simulation. However, in the initial stage of research, it provides important guidelines for experimental design and optimization, which is an indispensable method for biochemical research.
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