Srinivas Niranj Chandrasekaran
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Explore the profile of Srinivas Niranj Chandrasekaran including associated specialties, affiliations and a list of published articles.
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15
Citations
351
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Recent Articles
1.
Serrano E, Chandrasekaran S, Bunten D, Brewer K, Tomkinson J, Kern R, et al.
Nat Methods
. 2025 Mar;
PMID: 40032995
Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Next, whether by deep learning or classical algorithms, image analysis pipelines commonly produce single-cell...
2.
Chandrasekaran S, Cimini B, Goodale A, Miller L, Kost-Alimova M, Jamali N, et al.
Nat Methods
. 2024 Apr;
21(6):1114-1121.
PMID: 38594452
The identification of genetic and chemical perturbations with similar impacts on cell morphology can elucidate compounds' mechanisms of action or novel regulators of genetic pathways. Research on methods for identifying...
3.
Serrano E, Chandrasekaran S, Bunten D, Brewer K, Tomkinson J, Kern R, et al.
ArXiv
. 2023 Dec;
PMID: 38045474
Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Whether by deep learning or classical algorithms, image analysis pipelines then produce single-cell features....
4.
Chandrasekaran S, Das J, Dokholyan N, Carter Jr C
Struct Dyn
. 2023 Jul;
10(4):044301.
PMID: 37476003
Mechanistic studies of tryptophanyl-tRNA synthetase (TrpRS) afford an unusually detailed description-the escapement mechanism-for the distinct steps coupling catalysis to domain motion, efficiently converting the free energy of ATP hydrolysis into...
5.
Cimini B, Chandrasekaran S, Kost-Alimova M, Miller L, Goodale A, Fritchman B, et al.
Nat Protoc
. 2023 Jun;
18(7):1981-2013.
PMID: 37344608
In image-based profiling, software extracts thousands of morphological features of cells from multi-channel fluorescence microscopy images, yielding single-cell profiles that can be used for basic research and drug discovery. Powerful...
6.
Dagher M, Ongo G, Robichaud N, Kong J, Rho W, Teahulos I, et al.
bioRxiv
. 2023 May;
PMID: 37131604
We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation...
7.
Way G, Natoli T, Adeboye A, Litichevskiy L, Yang A, Lu X, et al.
Cell Syst
. 2022 Nov;
13(11):911-923.e9.
PMID: 36395727
Morphological and gene expression profiling can cost-effectively capture thousands of features in thousands of samples across perturbations by disease, mutation, or drug treatments, but it is unclear to what extent...
8.
Chandrasekaran S, Ceulemans H, Boyd J, Carpenter A
Nat Rev Drug Discov
. 2020 Dec;
20(2):145-159.
PMID: 33353986
Image-based profiling is a maturing strategy by which the rich information present in biological images is reduced to a multidimensional profile, a collection of extracted image-based features. These profiles can...
9.
Chandrasekaran S, Carter Jr C
Struct Dyn
. 2017 Mar;
4(3):032103.
PMID: 28289692
PATH algorithms for identifying conformational transition states provide computational parameters-time to the transition state, conformational free energy differences, and transition state activation energies-for comparison to experimental data and can be...
10.
Carter Jr C, Chandrasekaran S, Weinreb V, Li L, Williams T
Struct Dyn
. 2017 Feb;
4(3):032101.
PMID: 28191480
We measured and cross-validated the energetics of networks in Tryptophanyl-tRNA synthetase (TrpRS) using both and thermodynamic cycles. Multi-dimensional combinatorial mutagenesis showed that four side chains from this "molecular switch" move...