| Image-based profiling for drug discovery: due for a machine-learning upgrade? SN Chandrasekaran, H Ceulemans, JD Boyd, AE Carpenter Nature Reviews Drug Discovery 20 (2), 145-159, 2021 | 238 | 2021 |
| Rational design of a ligand-controlled protein conformational switch O Dagliyan, D Shirvanyants, A Karginov, F Ding, SN Chandrasekaran, ... Biophysical Journal 104 (2), 18a-19a, 2013 | 123 | 2013 |
| Functional class I and II amino acid-activating enzymes can be coded by opposite strands of the same gene L Martinez-Rodriguez, O Erdogan, M Jimenez-Rodriguez, ... Journal of Biological Chemistry 290 (32), 19710-19725, 2015 | 71 | 2015 |
| The Rodin-Ohno hypothesis that two enzyme superfamilies descended from one ancestral gene: an unlikely scenario for the origins of translation that will not be dismissed CW Carter, L Li, V Weinreb, M Collier, K Gonzalez-Rivera, ... Biology Direct 9, 1-23, 2014 | 58 | 2014 |
| Morphology and gene expression profiling provide complementary information for mapping cell state GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang, X Lu, JC Caicedo, ... Cell systems 13 (11), 911-923. e9, 2022 | 53 | 2022 |
| Statistical evaluation of the Rodin–Ohno hypothesis: Sense/antisense coding of ancestral Class I and II aminoacyl-tRNA synthetases SN Chandrasekaran, GG Yardimci, O Erdogan, J Roach, CW Carter Jr Molecular Biology and Evolution 30 (7), 1588-1604, 2013 | 50 | 2013 |
| Optimizing the Cell Painting assay for image-based profiling BA Cimini, SN Chandrasekaran, M Kost-Alimova, L Miller, A Goodale, ... Nature protocols 18 (7), 1981-2013, 2023 | 43 | 2023 |
| Enhanced amino acid selection in fully evolved tryptophanyl-tRNA synthetase, relative to its urzyme, requires domain motion sensed by the D1 switch, a remote dynamic packing motif V Weinreb, L Li, SN Chandrasekaran, P Koehl, M Delarue, CW Carter Journal of Biological Chemistry 289 (7), 4367-4376, 2014 | 38 | 2014 |
| Molecular dynamics simulations of human and dog gastric lipases: Insights into domain movements A Selvan, C Seniya, SN Chandrasekaran, N Siddharth, S Anishetty, ... FEBS letters 584 (22), 4599-4605, 2010 | 31 | 2010 |
| Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations SN Chandrasekaran, BA Cimini, A Goodale, L Miller, M Kost-Alimova, ... Nature Methods, 1-8, 2024 | 30 | 2024 |
| JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations SN Chandrasekaran, J Ackerman, E Alix, DM Ando, J Arevalo, M Bennion, ... Biorxiv, 2023.03. 23.534023, 2023 | 29 | 2023 |
| A modified PATH algorithm rapidly generates transition states comparable to those found by other well established algorithms SN Chandrasekaran, J Das, NV Dokholyan, CW Carter Structural Dynamics 3 (1), 2016 | 26 | 2016 |
| Combining multi-mutant and modular thermodynamic cycles to measure energetic coupling networks in enzyme catalysis CW Carter, SN Chandrasekaran, V Weinreb, L Li, T Williams Structural Dynamics 4 (3), 2017 | 16 | 2017 |
| Adding torsional interaction terms to the Anisotropic Network Model improves the PATH performance, enabling detailed comparison with experimental rate data SN Chandrasekaran, CW Carter Jr Struct. Dyn 4 (032103), 10.1063, 2017 | 16* | 2017 |
| Pycytominer: Data processing functions for profiling perturbations G Way, SN Chandrasekaran, M Bornholdt, S Fleming, H Tsang, ... GitHub, 2021 | 7 | 2021 |
| nELISA: A high-throughput, high-plex platform enables quantitative profiling of the secretome M Dagher, G Ongo, N Robichaud, J Kong, W Rho, I Teahulos, A Tavakoli, ... bioRxiv, 2023.04. 17.535914, 2023 | 5 | 2023 |
| Thermodynamic impacts of combinatorial mutagenesis on protein conformational stability: precise, high-throughput measurement by Thermofluor V Weinreb, G Weinreb, SN Chandrasekaran, J Das, NV Dokholyan, ... BioRxiv, 591495, 2019 | 3 | 2019 |
| Reproducible image-based profiling with Pycytominer E Serrano, SN Chandrasekaran, D Bunten, KI Brewer, J Tomkinson, ... ArXiv, 2023 | 2 | 2023 |
| Microcalorimetry reveals multi-state thermal denaturation of G. stearothermophilus tryptophanyl-tRNA synthetase SN Chandrasekaran, J Das, NV Dokholyan, CW Carter Structural Dynamics 10 (4), 2023 | 1 | 2023 |
| PATH: A computational algorithm that rapidly identifies protein conformational transition states and transition pathways SN Chandrasekaran 66th Annual Meeting, 2016 | | 2016 |
Charles W. Carter, JrUniversity of North Carolina at Chapel HIllVerified email at ad.unc.edu
