Search for Active-State Conformation of Drug Target GPCR Using Real-Coded Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Using Fuzzy Cognitive Maps for Prediction of Knowledge Worker Productivity Based on Real Coded Genetic Algorithm
Improving knowledge worker productivity has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we se...
متن کاملReal-coded genetic algorithm with uniform random local search
Genetic algorithms are efficient global optimizers, but they are weak in performing fine-grained local searches. In this paper, the local search capability of genetic algorithm is improved by hybridizing real coded genetic algorithm with 'uniform random' local search to form a hybrid real coded genetic algorithm termed 'RCGAu'. The incorporated local technique is applied to all newly created of...
متن کاملoptimizing elliptical tank shape based on real-coded genetic algorithm
an elliptical tank cross-section is formulated to explore and optimization method, based on a real-coded genetic algorithm to enhance the roll stability limit of a tank vehicle. a shape genetic algorithm optimization problem is applied to minimize the overturning moment imposed on the vehicle due to c.g. height of the liquid load, and lateral acceleration and cargo load shift . the minimization...
متن کاملDrug Screening of GPCR Using Active Learning
In drug screening, active compounds (actives) bound to targets are found in large collections of compounds. Typically, between several hundred thousand to a million compounds are examined. It is highly expensive to test all compounds in random (Random), therefore limited biochemical tests are performed in searching for actives. Consequently, chemists start with some initial tested set and itera...
متن کاملReal Coded Genetic Algorithm Operators Embedded in Gravitational Search Algorithm for Continuous Optimization
The objective of this paper is to propose three modified versions of the Gravitational Search Algorithm for continuous optimization problems. Although the Gravitational Search Algorithm is a recently introduced promising memory-less heuristic but its performance is not so satisfactory in multimodal problems particularly during the later iterations. With a view to improve the exploration and exp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2009
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.24.386