Author

S. Achuthan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Mohanty· 1 shared A. Nam· 1 shared A. Nathan· 1 shared C. Tate· 1 shared E. Massarelli· 1 shared G. Rangarajan· 1 shared H. Levine· 1 shared K. F. Fennell· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

A. Mohanty

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2 papers

Recent·Most cited

Suppressing chemoresistance in lung cancer via dynamic phenotypic switching and intermittent therapy

A. Nam, A. Mohanty, S. Bhattacharya, S. Kotnala, S. Achuthan, K. Hari, A. Nathan, G. Rangarajan, E. Massarelli, H. Levine, M. K. Jolly, P. Kulkarni, R. Salgia

This study shows that intermittent chemotherapy can suppress chemoresistance in lung cancer by preventing the emergence of tolerant cells through dynamic phenotypic switching.

bioRxiv · Apr 6, 2020Cancer Biology

Machine Learning for Prioritization of Thermostabilizing Mutations for G-protein Coupled Receptors

S. Muk, S. Ghosh, S. Achuthan, X. Chen, X. Yao, M. Sandhu, M. C. Griffor, K. F. Fennell, Y. Che, V. Shanmugasundaram, X. Qiu, C. Tate, N. Vaidehi

The paper develops a machine learning framework to predict thermostable mutations for GPCRs, achieving higher success rates than systematic alanine scanning.

bioRxiv · Jul 25, 2019Biophysics