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Entromics: Identification and design of custom sequences with desired functionality

Detailed Technology Description

None

*Abstract

Generally, the present invention discloses methods and apparatus that provide a way of determining functional significance of sequences by collective extracting their evolutionary history, physical properties, boundaries and series of distances (tau-homology) to similar sequences within the larger sequence or within a set of sequences. The present invention discloses methods of generating composition of matter not present neither in original nor in other sequences in terms of providing a way of determining additional sequences that share tau-homology with those determined by above methods.ApplicationsOutput is composition of matter: 1. Pharmaceutical applications - biologics drugs and vaccines through designing parts of the genome or parts of the protein sequence with predefined properties. 2. Design of the probe DNA sequences for high throughput microarray experiments. 3. Identification of unique genome signatures of pathogens for applications in detection technologies (defense, bio-terror). 4. Tool for smart anti-resistance drug design: identification of active sites of enzymes and therefore drug targets as well as tool for identification of protein-protein interaction sites together with method of predicting the resistance inducing mutations. 5. Preparation of "technological enzymes" (higher temperature stability, modification of structure flexibility etc.)Output is novel method and apparatus: 1.Provides unique function-correlated input into systems biology disease models, computational models of clinical trials etc. 2. Provides unique description of host-pathogen interaction for quantitative epidemiology models. 3. Provides novel disease related information to be used in the personalized genotyping.Advantages1. It identifies long-range coherence of physical properties in genome.2. It uses generalized formalism and mathematical tools of quantum theory in the context of biological systems 3. It extracts functionally relevant information from genome sequence irrespectively of the DNA "type" (coding/noncoding, junk DNA, regulatory, untranslated regions...)4. It does not need multiple sequence comparison; biologically relevant information can be extracted from single sequence. If many sequences are available, comparisons of single sequence results provide higher level of biological information.5. It naturally explains many "puzzling" facts and observations about genome.

*Principal Investigator

Name: Petr Pancoska, Research Associate Professor

Department: Dent Med-Oral Biology

Country/Region

USA