| Evolving insights on how cytosine methylation affects protein–DNA binding AC Dantas Machado, T Zhou, S Rao, P Goel, C Rastogi, A Lazarovici, ... Briefings in functional genomics 14 (1), 61-73, 2015 | 137 | 2015 |
| Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding S Rao, TP Chiu, JF Kribelbauer, RS Mann, HJ Bussemaker, R Rohs Epigenetics & chromatin 11, 1-11, 2018 | 76 | 2018 |
| Genome-wide prediction of minor-groove electrostatic potential enables biophysical modeling of protein–DNA binding TP Chiu, S Rao, RS Mann, B Honig, R Rohs Nucleic acids research 45 (21), 12565-12576, 2017 | 75 | 2017 |
| Cooperative binding between distant transcription factors is a hallmark of active enhancers S Rao, K Ahmad, S Ramachandran Molecular cell 81 (8), 1651-1665. e4, 2021 | 44 | 2021 |
| Capturing native/native like structures with a physico-chemical metric (pcSM) in protein folding BJ Avinash Mishraa, Satyanarayan Raob, Aditya Mittala Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 1834 (8), 1520 …, 2013 | 25 | 2013 |
| The RNA polymerase α subunit recognizes the DNA shape of the upstream promoter element S Lara-Gonzalez, AC Dantas Machado, S Rao, AA Napoli, J Birktoft, ... Biochemistry 59 (48), 4523-4532, 2020 | 13 | 2020 |
| Transcription factor–nucleosome dynamics from plasma cfDNA identifies ER-driven states in breast cancer S Rao, AL Han, A Zukowski, E Kopin, CA Sartorius, P Kabos, ... Science Advances 8 (34), eabm4358, 2022 | 11 | 2022 |
| Phenotypes from cell-free DNA A Zukowski, S Rao, S Ramachandran Open biology 10 (9), 200119, 2020 | 10 | 2020 |
| Physicochemical models of protein–DNA binding with standard and modified base pairs TP Chiu, S Rao, R Rohs Proceedings of the National Academy of Sciences 120 (4), e2205796120, 2023 | 4 | 2023 |
| Toolkit for grid-enabled high resolution image processing S Rao, KK Pattanaik, M Bhattacharya 2010 2nd International Conference on Signal Processing Systems 3, V3-724-V3-728, 2010 | 2 | 2010 |
| Transcription factor-nucleosome dynamics inferred from plasma cfDNA delineates tumor and tumor-microenvironment phenotype S Rao, A Han, A Zukowski, E Kopin, P Kabos, S Ramachandran Cancer Research 81 (13_Supplement), 2611-2611, 2021 | 1 | 2021 |
| Mapping Transcription Factor-Nucleosome Dynamics from Plasma cfDNA S Rao, AL Han, A Zukowski, E Kopin, CA Sartorius, P Kabos, ... bioRxiv, 2021.04. 14.439883, 2021 | 1 | 2021 |
| ASR System Integration with Asterisk for SIP or IAX Softphone clients S Goel, V Garg, P Ranjan, S Rao, M Bhattacharya 2009 International Association of Computer Science and Information …, 2009 | 1 | 2009 |
| Signatures in cell-free dna to detect disease, track treatment response, and inform treatment decisions P Kabos, S Ramachandran, A Zukowski, S Rao, A Han US Patent App. 18/245,749, 2023 | | 2023 |
| Using cell-free DNA to predict response to immunotherapy in non-small cell lung cancer pre-and post-treatment. S Rao, A Zukowski, A Weirich, P Kabos, EM Stensland, IJZ Eide, ... Journal of Clinical Oncology 41 (16_suppl), e21198-e21198, 2023 | | 2023 |
| Estradiol (E2) concentration shapes the chromatin binding landscape of the estrogen receptor AL Han, K Vinod-Paul, S Rao, HM Brechbuhl, CA Sartorius, ... bioRxiv, 2022.09. 23.509212, 2022 | | 2022 |
| A computational pipeline to visualize DNA-protein binding states using dSMF data S Rao, S Ramachandran STAR protocols 3 (2), 101299, 2022 | | 2022 |
| Cooperative Binding of Transcription Factors is a Hallmark of Active Enhancers S Rao, K Ahmad, S Ramachandran bioRxiv, 2020.08. 17.253146, 2020 | | 2020 |
| Modeling of protein-DNA binding with a multi-module deep learning framework TP Chiu, S Rao, ACD Machado, R Rohs JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS 37, 81-81, 2019 | | 2019 |
| Understanding Protein–DNA Recognition in the Context of DNA Methylation S Rao University of Southern California, 2018 | | 2018 |
Remo RohsProfessor and Chair of Quantitative and Computational Biology, University of Southern CaliforniaVerified email at usc.edu
