A pentapeptide-based method for protein secondary structure prediction.

We present a new method for protein secondary structure prediction, based on the recognition of well-defined pentapeptides, in a large databank. Using a databank of 635 protein chains, we obtained a success rate of 68.6%.

Fast DNA sequencing.

A method for fast nucleotide sequencing is described. It is based in the selection of well-known small oligomers able to be hybridized with the unknown target. The selected oligomers are afterwards ordered following a simple statistical approach.

Biocryptography.

A new cryptology that uses biomolecules as carriers of hidden information is described here. The huge dimension of biopolymers permits the insertion there of private messages and the rapidity and specificity of biomolecular interactions facilitate the identification of classified communications. Otherwise, this process can be implemented in a virtual context.

Biochemical identification of prime numbers.

A biochemical technique is proposed whereby prime numbers may be identified.

Secondary structure of proteins and three-dimensional pattern recognition.

We describe a new, parameter-free, method to predict the secondary structure of a protein. It is based on the recognition of well-defined pentapeptides, which allows the discrimination of alpha helices, beta sheets and random coils in proteins. Presently, a success rate of about 65% is achieved for a three-state model.