Stochastic Optimisation Methods for Biomolecular Structure Prediction

Stochastic optimization methods for structure prediction of biomolecular nanoscale systems

The development of simulation techniques that can elucidate the function of biomolecular nanodevices is still in its infancy. In this paper we summarize our approach to the investigation of structural properties of biomolecular systems with stochastic optimization methods. We briefly review the stochastic tunnelling method and summarize applications in two important areas of biomolecular struct...

A Family of Stochastic Methods For Constraint Satisfaction and Optimisation

Constraint satisfaction and optimisation is NP-complete by nature. The combinatorial explosion problem prevents complete constraint programming methods from solving many real-life constraint problems. In many situations, stochastic search methods, many of which sacrifice completeness for efficiency, are needed. This paper reports a family of stochastic algorithms for constraint satisfaction and...

Stochastic Local Search Methods for Highly Constrained Combinatorial Optimisation Problems

Stochastic Local Search Methods for Highly Constrained Combinatorial Optimisation Problems

Improved Biomolecular Annotation Prediction through Weighting Scheme Methods

Biomolecular annotation databases are very important in modern biomedical and genetic research. Correct interpretation of biological experiments depends on consistency and completeness of such databases. To improve their quality and coverage, computational methods that are able to supply a ranked list of predicted gene or gene products annotations are extremely useful. In this paper we propose ...