ZOLTAN NAGY OLTVAI
Medical Practice in Pittsburgh, PA

License number
Pennsylvania MD053119L
Category
Medicine
Type
Medical Physician and Surgeon
Address
Address
Pittsburgh, PA 15206

Personal information

See more information about ZOLTAN NAGY OLTVAI at radaris.com
Name
Address
Phone
Zoltan Oltvai, age 64
703 Hastings St, Pittsburgh, PA 15206
Zoltan Oltvai
1635 Beechwood Blvd, Pittsburgh, PA 15217
Zoltan Oltvai
703 Hastings St, Pittsburgh, PA 15206

Professional information

Zoltan Nagy Oltvai Photo 1

Zoltan Nagy Oltvai, Pittsburgh PA

Specialties:
Pathologist
Address:
200 Lothrop St, Pittsburgh, PA 15213
Education:
Semmelweis University, Faculty of Medicine - Doctor of Medicine
Barnes-Jewish Hospital - Residency - Clinical Pathology
Board certifications:
American Board of Pathology Certification in Clinical Pathology (Pathology)


Zoltan N Oltvai Photo 2

Dr. Zoltan N Oltvai, Pittsburgh PA - MD (Doctor of Medicine)

Specialties:
Clinical Pathology
Address:
200 Lothrop St SUITE S424, Pittsburgh 15213
(412) 648-9466 (Phone)
Certifications:
Clinical Pathology, 1998
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
Semmelweis Medicine Study University (Peter Pazmany Univ)
Barnes Hosp/Wash U


Zoltan Oltvai Photo 3

Flux Balance Analysis With Molecular Crowding

US Patent:
2009006, Mar 5, 2009
Filed:
Jul 10, 2008
Appl. No.:
12/170852
Inventors:
Zoltan N. Oltvai - Pittsburgh PA, US
Alexei Vazquez - Princeton NJ, US
International Classification:
C12Q 1/68, C12Q 1/02
US Classification:
435 6, 435 29
Abstract:
Methods are provided herein for: calculating cell growth rates in various environments and genetic backgrounds; calculating the order of substrate utilization from a defined growth medium; calculating metabolic flux reorganization in various environments and at various growth rates; and calculating the maximum metabolic rate and optimal metabolite concentrations and enzyme activities by applying a computational optimization method to a kinetic model of a metabolic pathway. The optimization methods use intracellular molecular crowding parameters and/or well as kinetic rates to assist in modeling metabolic activity.