P S Thiagarajan
Overview
Explore the profile of P S Thiagarajan including associated specialties, affiliations and a list of published articles.
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Articles
10
Citations
387
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0
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Recent Articles
1.
Gyori B, Venkatachalam G, Thiagarajan P, Hsu D, Clement M
Redox Biol
. 2021 Feb;
40:101876.
PMID: 33558181
No abstract available.
2.
Liu B, Liu Q, Yang L, Palaniappan S, Bahar I, Thiagarajan P, et al.
Sci Signal
. 2016 Jul;
9(436):ra70.
PMID: 27405980
Toll-like receptors (TLRs) recognize pathogen-associated molecular patterns (PAMPs) and stimulate the innate immune response through the production of cytokines. The innate immune response depends on the timing of encountering PAMPs,...
3.
Wang J, Tucker-Kellogg L, Ng I, Jia R, Thiagarajan P, White J, et al.
PLoS Comput Biol
. 2014 Jun;
10(6):e1003573.
PMID: 24901250
The TGF-β/Smad signaling system decreases its activity through strong negative regulation. Several molecular mechanisms of negative regulation have been published, but the relative impact of each mechanism on the overall...
4.
Gyori B, Venkatachalam G, Thiagarajan P, Hsu D, Clement M
Redox Biol
. 2014 Mar;
2:457-65.
PMID: 24624335
Reactive species such as free radicals are constantly generated in vivo and DNA is the most important target of oxidative stress. Oxidative DNA damage is used as a predictive biomarker...
5.
Koh C, Palaniappan S, Thiagarajan P, Wong L
BMC Bioinformatics
. 2013 Jan;
13 Suppl 17:S15.
PMID: 23282174
Statistical model checking techniques have been shown to be effective for approximate model checking on large stochastic systems, where explicit representation of the state space is impractical. Importantly, these techniques...
6.
Liu B, Thiagarajan P
J Bioinform Comput Biol
. 2012 Jul;
10(4):1231001.
PMID: 22809413
Cellular processes are governed and coordinated by a multitude of biopathways. A pathway can be viewed as a complex network of biochemical reactions. The dynamics of this network largely determines...
7.
Palaniappan S, Akshay S, Liu B, Genest B, Thiagarajan P
IEEE/ACM Trans Comput Biol Bioinform
. 2012 Apr;
9(5):1352-65.
PMID: 22529330
Dynamic Bayesian Networks (DBNs) can serve as succinct probabilistic dynamic models of biochemical networks. To analyze these models, one must compute the probability distribution over system states at a given...
8.
Liu B, Hagiescu A, Palaniappan S, Chattopadhyay B, Cui Z, Wong W, et al.
Bioinformatics
. 2012 Apr;
28(11):1508-16.
PMID: 22492313
Motivation: Biopathways are often modeled as systems of ordinary differential equations (ODEs). Such systems will usually have many unknown parameters and hence will be difficult to calibrate. Since the data...
9.
Liu B, Zhang J, Tan P, Hsu D, Blom A, Leong B, et al.
PLoS Comput Biol
. 2011 Feb;
7(1):e1001059.
PMID: 21283780
The complement system is key to innate immunity and its activation is necessary for the clearance of bacteria and apoptotic cells. However, insufficient or excessive complement activation will lead to...
10.
Koh G, Teong H, Clement M, Hsu D, Thiagarajan P
Bioinformatics
. 2006 Jul;
22(14):e271-80.
PMID: 16873482
Parameter estimation is a critical problem in modeling biological pathways. It is difficult because of the large number of parameters to be estimated and the limited experimental data available. In...