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Biomedical subjects

V E Ramensky

Publications and source records attributed to V E Ramensky.

4 recordsLinked to original sources
PubMed2001

Molecular modelling of disease-causing single-nucleotide polymorphisms in collagen.

The purpose of the work was to investigate at the molecular structural and energy levels the consequence of amino acid substitutions in collagen that cause systemic diseases. The data have been systematized on defects in human collagen III, and the patterns of single-nucleotide polymorphisms collected. Then molecular mechanics calculations were performed for native and mutant collagen molecule fragments. The observed energy components and structural alterations that accompany particular amino acid substitutions were used to propose an interpretation of negative consequences in terms of stability and hydration of the macromolecule.

Amino Acid Substitution↗
PubMed2001

Segmentation of long genomic sequences into domains with homogeneous composition with BASIO software.

UNLABELLED: We present a software system BASIO that allows one to segment a sequence into regions with homogeneous nucleotide composition at a desired length scale. The system can work with arbitrary alphabet and therefore can be applied to various (e.g. protein) sequences. Several sequences of complete genomes of eukaryotes are used to demonstrate the efficiency of the software. AVAILABILITY: The BASIO suite is available for non-commercial users free of charge as a set of executables and accompanying segmentation scenarios from http://www.imb.ac.ru/compbio/basio. To obtain the source code, contact the authors.

Algorithms↗
PubMedDate not supplied

DNA segmentation through the Bayesian approach.

We present a new approach to DNA segmentation into compositionally homogeneous blocks. The Bayesian estimator, which is applicable for both short and long segments, is used to obtain the measure of homogeneity. An exact optimal segmentation is found via the dynamic programming technique. After completion of the segmentation procedure, the sequence composition on different scales can be analyzed with filtration of boundaries via the partition function approach.

Algorithms↗