Vipul Periwal

US Patent:

20030144823, Jul 31, 2003

Filed:

Nov 1, 2002

Appl. No.:

10/286372

Inventors:

Jeffrey Fox - Ithaca NY, US
Colin Hill - Ithaca NY, US
Vipul Periwal - New City NY, US

International Classification:

G06G007/48
G06G007/58

US Classification:

703/011000

Abstract:

Presently disclosed are methods for inferring a network model of the interactions of biological molecules and systems for practicing such methods. The systems and methods described herein provide a systematic and computationally feasible solution to the problem of rational inference of the architecture of biological networks, based on a combination of rational and statistical evaluations of quantitative and qualitative data. These methods constrain the search space of possible networks and, in some embodiments, allow the online addition of new data into an existing model without any interruption in analysis. Additionally, these methods can provide a quantitative evaluation of the confidence levels associated with the putative network architectures discovered thereby. The methods naturally incorporate latent nodes in the search space of possible architectures; hence, the system is also capable of predicting new interactions and/or substrates for the biological systems being studied.

US Patent:

20040243354, Dec 2, 2004

Filed:

Aug 29, 2003

Appl. No.:

10/652910

Inventors:

Vipul Periwal - Bethesda MD, US

Assignee:

Gene Network Sciences, Inc. - Ithaca NY

International Classification:

G06F015/00

US Classification:

702/188000

Abstract:

Described herein is a system for inferring one or a population of biochemical interaction networks, including topology and chemical reaction rates and parameters, from dynamical or statical experimental data, with or without spatial localization information, and a database of possible interactions. Accordingly, the systems and methods described herein may be employed to infer the biochemical interaction networks that exist in a cell. To this end, the systems and methods described herein generate a plurality of possible candidate networks and then apply to these networks a forward simulation process to infer a network. Inferred networks may be analyzed via data fitting and other fitting criteria, to determine the likelihood that the network is correct. In this way, new and more complete models of cellular dynamics may be created.

Author:

Vipul Periwal

ISBN #:

0262195488