Tokyo/New Delhi: Fujitsu Laboratories and Fujitsu Limited have announced the development of molecular simulation technology for drug discovery that can accurately estimate binding affinity, which represents the degree to which proteins that can cause diseases (target proteins) bind to chemical substances that could become candidate drugs. In the process of drug discovery, there is a demand for accurate prediction of the binding affinity between target proteins and chemical substances, which offers a rough estimate of a drug’s efficacy.
Molecular simulation technology has been widely used in the past as a method of predicting binding affinity, calculating the approximate forces that arise between atoms in molecules using Newtonian mechanics. The problem with this method, however, remains that the low degree accuracy of its estimation of the most important parameters-the degree of torsion at the binding sites. This means that the accuracy of its estimation of the overall binding affinity is also poor.
Now, Fujitsu Laboratories has developed molecular simulation technology that estimates the degree of torsion in a chemical substance, which is directly connected to the predicted binding affinity. The new technology not only takes into account the bonding location where the torsion will occur, but also the impact of neighboring atoms. Fujitsu Laboratories evaluated this technology for 190 types of chemical substances, comparing the results with correct results arrived at from first principles calculation and then evaluating the error rate. Upon doing so, it was able to confirm that the error rate in the estimate of the degree of torsion was, on average, one-tenth that of previous technology.
It is anticipated that the use of this new technology in IT-based drug discovery, with its ability to accurately estimate the binding affinity of targeted proteins and chemical substances, offers the potential for groundbreaking new drug discovery efforts that could not be achieved with previous approaches. Fujitsu Laboratories plans to include this technology in a new IT-based drug discovery service offered by Fujitsu Limited.
Development Background
The discovery of new drugs requires significant expenses and timeframes that can be measured in decades, leading to a global search for new methods of discovering drugs. One of the methods that has received considerable interest is IT-based drug discovery, a new drug discovery method using computers that makes it possible to create chemical substances as candidates for novel drugs with a high probability of success. IT-based drug discovery has become a focal point for expectations as a groundbreaking technology for the creation of new drugs, because unlike previous methods of trial and error, in which chemical substances are repeatedly created and tested, this approach makes it possible to virtually design chemical substances and estimate their effects.
Issues
The effects of a chemical substance as a drug are expressed when the chemical substance binds to a target protein. When the chemical substance binds to the target protein, it can change its shape in line with that of the target protein. The degree of deformation, namely, the parameters that indicate the extent of this shape change, is directly connected to the binding affinity of the substance and the protein, and gives a rough idea of its effect as a drug. Given this, there is a strong demand for the ability to accurately predict this value. To calculate the degree of deformation of a chemical substance, there are methods based on quantum mechanics and methods based on Newtonian mechanics.
Quantum-mechanics based first principles calculation enables extremely accurate calculations, resolving the states of electrons from the types and positions of the atoms involved. On the other hand, however, the ability of first principles to perform exacting calculations necessarily leads to massive time required to complete the calculations. In order to simulate the degree of deformation for numerous chemical substances, time required is in the order of years, making this method impractical.
On the other hand, approximate calculations based on molecular simulations are extremely fast, using Newtonian mechanics to calculate the forces between the atoms within the molecules, and can even handle large molecules like proteins quite easily. Consequently, this method is widely used.
