Manoj Gopalkrishnan
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Explore the profile of Manoj Gopalkrishnan including associated specialties, affiliations and a list of published articles.
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8
Citations
46
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Recent Articles
1.
Poole W, Ouldridge T, Gopalkrishnan M
J R Soc Interface
. 2025 Jan;
22(222):20240373.
PMID: 39837479
Can a micron-sized sack of interacting molecules autonomously learn an internal model of a complex and fluctuating environment? We draw insights from control theory, machine learning theory, chemical reaction network...
2.
Wiuf C, Behera A, Singh A, Gopalkrishnan M
J R Soc Interface
. 2023 Jun;
20(203):20220877.
PMID: 37340782
With a view towards artificial cells, molecular communication systems, molecular multiagent systems and federated learning, we propose a novel reaction network scheme (termed the Baum-Welch (BW) reaction network) that learns...
3.
Ghosh S, Agarwal R, Rehan M, Pathak S, Agarwal P, Gupta Y, et al.
IEEE Open J Signal Process
. 2021 Nov;
2:248-264.
PMID: 34812422
We propose 'Tapestry', a single-round pooled testing method with application to COVID-19 testing using quantitative Reverse Transcription Polymerase Chain Reaction (RT-PCR) that can result in shorter testing time and conservation...
4.
Gopalkrishnan M, Krishna S
J Indian Inst Sci
. 2020 Oct;
100(4):787-792.
PMID: 33100614
As SARS-CoV-2 continues to propagate around the world, it is becoming increasingly important to scale up testing. This is necessary both at the individual level, to inform diagnosis, treatment and...
5.
Deshpande A, Gopalkrishnan M, Ouldridge T, Jones N
Proc Math Phys Eng Sci
. 2017 Sep;
473(2204):20170117.
PMID: 28878557
We consider the challenge of operating a reliable bit that can be rapidly erased. We find that both erasing and reliability times are non-monotonic in the underlying friction, leading to...
6.
Anderson D, Craciun G, Gopalkrishnan M, Wiuf C
Bull Math Biol
. 2015 Sep;
77(9):1744-67.
PMID: 26376889
We consider the relationship between stationary distributions for stochastic models of reaction systems and Lyapunov functions for their deterministic counterparts. Specifically, we derive the well-known Lyapunov function of reaction network...
7.
Deshpande A, Gopalkrishnan M
Bull Math Biol
. 2014 Sep;
76(10):2570-95.
PMID: 25245394
The persistence conjecture is a long-standing open problem in chemical reaction network theory. It concerns the behavior of solutions to coupled ODE systems that arise from applying mass-action kinetics to...
8.
Gopalkrishnan M
Bull Math Biol
. 2011 Apr;
73(12):2962-82.
PMID: 21503834
We define catalytic networks as chemical reaction networks with an essentially catalytic reaction pathway: one which is "on" in the presence of certain catalysts and "off" in their absence. We...
9.
Chelyapov N, Brun Y, Gopalkrishnan M, Reishus D, Shaw B, Adleman L
J Am Chem Soc
. 2004 Oct;
126(43):13924-5.
PMID: 15506744
We have designed and constructed DNA complexes in the form of triangles. We have created hexagonal planar tilings from these triangles via self-assembly. Unlike previously reported structures self-assembled from DNA,...