Embedding High Reliability in Computer Aided Drug Designing by Fault Forecasting Software Fault Tolerance Model
Abstract
Abstract
Reliability and fault free environment is always a key important factor in any computer aided system. The one key factor is software fault. Faults can be reside and arise anywhere anytime though it is very well tested. In life critical systems/applications, fault must be tolerated at any cost.. Drug discovery and development are very time and resources consuming processes. It is very challenging era for today’s market. Computational techniques to the combined chemical and biological space with the purpose of simplify drug discovery, design, development and optimization. In this research, Software fault tolerance is adopted with drug designing for high reliability. Computational tools and techniques are very popular in pharmaceutical industry to increase the efficiency of drug discovery and development process. Software fault tolerance has many techniques to achieve high reliability in any system. These techniques generally base on diversy fundamentals. Such diversy works on data, specification, design, component, environment and resource. The diversity approach works better for high reliability when we ensure that diversity is applicable to all possible components. There are many alternatives, out which at least one alternate option would be execute and take responsibility of fault handling. Firstly, it introduces software fault tolerance techniques and drug designing procedures. This research focuses on a high reliability in computer aided drug designing by fault forecasting SFT Model. The proposed SFT model includes feasible study, requirement gathering-specification logging, specification and design fault matching and developing along with code diversity fundamentals. On occurrence of faults it will follow specific diversy to provide high availability and reliability. Design defects of any CADD software will cause a system failure as unsolvable condition. To provide alternation to such system, only code diversy is not enough. In the direction of high available and fault free CADD software the appropriate system design is necessary with multiple diversy approach. Reliability and fault forecasting SFT model will be monitoring the alternative for design-code-development at any faulty state. Applying SFT techniques in CADD software, execution throughput will higher by tolerating various faults with diversy fundamental. The proposed fault forecasting model will increase reliability in computer aided drug designing and also predicts the faults associated with concern inputs and procedures. This proposed SFT model will be useful to forecast faults for future CADD systems.
Keywords: Fault, drug discovery, design, diversy, specification, SFT (software fault tolerance), drug discovery, drug development, molecular modeling, computational modeling
Cite this Article
Jigna B. Prajapati, Bhupendra G. Prajapati. Embedding High Reliability in Computer Aided Drug Designing by Fault Forecasting Software Fault Tolerance Model. Research & Reviews: A Journal of Drug Design & Discovery. 2017; 4(2): 24–29p.
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