Proteins are important ingredients in food and feed, they are the active components of many
pharmaceutical products, and they are necessary, in the form of enzymes, for the success of …

Prediction of protein structural class plays an important role in protein structure and function
analysis, drug design and many other biological applications. Prediction of protein structural …

Alignment-free (AF) methodologies have increased in popularity in the last decades as
alternative tools to alignment-based (AB) algorithms for performing comparative sequence …

In this study, I introduce novel global and local 0D-protein descriptors based on a statistical
quantity named Total Sum of Squares (TSS). This quantity represents the sum of the squares …

This paper focuses on the parameter estimation of a class of bilinear systems, for which the
input-output representation is derived by eliminating the state variables in the systems …

For bilinear systems with colored noise, this paper gives the input–output representation of
the bilinear systems through eliminating the state variables in the model and derives a three …

The discovery of novel ligand chemotypes allows to explore uncharted regions in chemical
space, thereby potentially improving synthetic accessibility, potency, and the drug-likeness …

Bilinear systems are considered as a particular class of nonlinear systems including the
state variables which are typically used for online identification. By using a recursive …

Differences in the protein distribution of various protein isolates from Lupinus angustifolius L.
Vitabor were identified as affected by the isolation procedure (alkaline and/or salt-induced …

This paper considers the parameter identification for a class of nonlinear stochastic systems
with colored noise. We filter the input-output data by using an estimated noise transfer …