A method for computational drug design using an evolutionary algorithm, comprises evaluating virtual molecules according to vector distance (VD) to at least one achievement objective that defines a desired ideal molecule. In one method the invention comprises defining a set of n achievement objectives (OA1-n), where n is at least one; defining a population (PG=0) of at least one molecule; selecting an initial population (Pparent) of at least one molecule (I1-In) from the population (PG=0); and evaluating members (I1-In) of the initial population (Pparent) against at least one of the n achievement objectives (OA1-x), where x is from 1 to n
Advances in the understanding of natural phenomena and the exponential increase of computing power ...
One of the goals of computational chemistry is the automated de novo design of bioactive molecules. ...
The value of fine and specialty chemicals is often determined by the specific requirements in their ...
Abstract — Genetic algorithms, can be used to solve NP-hard problems in various domains, including c...
Drug discovery and development is a complex, lengthy process, and failure of a candidate molecule ca...
One of the main problems of drug design is that it is quite hard to discover compounds that have all...
Abstract — This article describes the Candidate Design Envi-ronment we developed for efficient ident...
We present a new representation for a genetic algorithm to evolve molecular structures representing ...
Evolutionary algorithms are actively used for de novo drug design, which are based on those concepts...
International audienceWe present an improved version of the program LEA developed to design organic ...
Abstract Evolutionary design has gained significant attention as a useful tool to accelerate the des...
Many phases of rational drug design involve finding solutions to large combinatorial problems for wh...
The search for compounds exhibiting desired physical and chemical properties is an essential, yet co...
The paper proposes a methodological approach to design complex experiments for multi-objective optim...
© 2008 Nicolaou and Pattichis Drug discovery and development is a complex, lengthy process and failu...
Advances in the understanding of natural phenomena and the exponential increase of computing power ...
One of the goals of computational chemistry is the automated de novo design of bioactive molecules. ...
The value of fine and specialty chemicals is often determined by the specific requirements in their ...
Abstract — Genetic algorithms, can be used to solve NP-hard problems in various domains, including c...
Drug discovery and development is a complex, lengthy process, and failure of a candidate molecule ca...
One of the main problems of drug design is that it is quite hard to discover compounds that have all...
Abstract — This article describes the Candidate Design Envi-ronment we developed for efficient ident...
We present a new representation for a genetic algorithm to evolve molecular structures representing ...
Evolutionary algorithms are actively used for de novo drug design, which are based on those concepts...
International audienceWe present an improved version of the program LEA developed to design organic ...
Abstract Evolutionary design has gained significant attention as a useful tool to accelerate the des...
Many phases of rational drug design involve finding solutions to large combinatorial problems for wh...
The search for compounds exhibiting desired physical and chemical properties is an essential, yet co...
The paper proposes a methodological approach to design complex experiments for multi-objective optim...
© 2008 Nicolaou and Pattichis Drug discovery and development is a complex, lengthy process and failu...
Advances in the understanding of natural phenomena and the exponential increase of computing power ...
One of the goals of computational chemistry is the automated de novo design of bioactive molecules. ...
The value of fine and specialty chemicals is often determined by the specific requirements in their ...