The disclosure provides a method of evaluation pharmacological activity of a compound, such as a drug candidate, which method combines computational bioinformatics with laboratory validation. In an embodiment, the method involves the creation of a network based on correlation coefficients calculated from a data set generated by exposing the compound to a biological model and gene-against-gene clustering. The network is then validated against, for example, a standard network based on natural language searching. The validated interactions are then run through a simulation scheme to develop a hierarchy of genes that are affected by the compound and that control genes in the network. Laboratory validation is conducted on any gene interactions that could not be otherwise validated. In one embodiment, the final results are compiled into a searchable database.
Systems And Methods For Predicting Disease Behavior
Austin Thomas - Falls Church VA, US Richard Thomas - McLean VA, US Sterling Thomas - McLean VA, US Scott Hawkins - McLean VA, US James Parrish - Sterling VA, US Diane Weiss - Herndon VA, US Lawrence Robertson - North Arlington VA, US
International Classification:
G06F017/60 G06G007/48 G06G007/58
US Classification:
703/011000, 705/003000
Abstract:
A system and method of predicting disease behavior is disclosed that includes one or more independent components that also interact to produce a prediction of disease behavior based on mathematical modeling of the biological mechanisms and historical patient data.
- Reston VA, US Masooda OMARI - Fairfax VA, US Sterling THOMAS - Woodbridge VA, US Leo THOMPSON - Sterling VA, US
Assignee:
NOBLIS, INC. - Reston VA
International Classification:
C12N 15/10 C12Q 1/6869 C12Q 1/6806 B01L 7/00
Abstract:
A portable kit for nucleic acid sequencing is disclosed, the kit including a DNA extraction system configured to perform a DNA extraction protocol, a DNA sequencing preparation system configured to perform a DNA sequencing preparation protocol, a sequencer system, and a portable enclosure configured to house the DNA extraction system, the sequencer preparation system, and the sequencer system.
Techniques for determining whether a nucleic acid sequence is genetically engineered are provided. In some embodiments, a ratio is calculated based on a number of input reads that align with reference data, and the ratio is inputted into a classifier to determine whether the input reads represent an engineered sequence. In some embodiments, first output data is generated based on unassembled read-based comparison of nucleic acid data, while second output data is generated based on assembly-based comparison of the nucleic acid data; the first and second output data are inputted into a classifier to determine whether the input data represents an engineered sequence. In some embodiments, nucleic acid data is compared to three reference datasets representing (i) engineered sequences, (ii) evolutionary variations of an organism, and (iii) evolutionary variations of other organisms; a determination as to whether the input data represents an engineered sequence is based on the three comparisons.
Systems And Methods For Snp Analysis And Genome Sequencing
Sterling Thomas - Woodbridge VA, US Nathan Dellinger - Springfield VA, US
International Classification:
G06F 17/30
US Classification:
707747
Abstract:
In one embodiment, a system comprising a processor and a memory storing instructions executable by the processor creates an index for a nucleic acid sequence. The index comprises a plurality of elements. Each element corresponds to a permutation of a nucleic acid sequence. Data representing a nucleic acid sequence is received. A subsequence of the nucleic acid sequence is identified in the data at a first position of the nucleic acid sequence. A hash of the subsequence is computed to determine a corresponding element of the index. Position data reflecting the first position is stored in the corresponding element of the index.
Systems And Methods For Detecting Market Irregularities
A system and method is provided for detecting market irregularities. Consistent with disclosed embodiments, a processing entity may receive securities prices over a first predetermined time period, the securities prices representing prices of at least a subset of securities within a particular market. The processing entity may compare securities price changes for a first security in the subset with securities price changes for every other security in the subset, and may determine a correlation between the first security and at least one other security in the subset based on the comparison of securities prices. Additionally, the processing entity may create a first network by associating the first security with each security in the subset determined to be correlated with the first security, and may compare the first network with one or more previously created networks to determine one or more market irregularities for the first security.
Name / Title
Company / Classification
Phones & Addresses
Sterling Thomas Chief Executive Officer
Midwest Proteomics Commercial Physical and Biological Research
800 E Leigh St, Richmond, VA 23219
Sterling Thomas Owner
Indepent Scholar - Sterling Thomas Noncommercial Research Organization
4901 Ct Rdg Ter, Midlothian, VA 23112
Sterling Thomas Principal, Chief Executive Officer
Midwest Proteomics Bioinformatics Research
800 E Leigh St, Richmond, VA 23219 8046773177
Resumes
Assistant Superintendent At Architect Of The Capitol
Office of Military Commissions since Aug 2010
Defense Counsel
USAF Jun 1999 - Dec 2010
USAF JAG Corps
USAF JAG Corps Jul 2007 - Jul 2010
Environmental Litigation Attorney
Education:
The George Washington University Law School 2006 - 2007
LLM, Environmental Law
North Carolina Central University School of Law 1994 - 1997
JD, Law
University of North Carolina at Chapel Hill