Channel:  Harvard Program in Therapeutic Sciences

114 Articles

Mechanistic model of MAPK signaling reveals how allostery and rewiring contribute to drug resistance
Froehlich, F., Gerosa, L., Muhlich, J. L., Sorger, P. K.
10.1101/2022.02.17.480899 — Posted: 2022-02-18
The spatial landscape of progression and immunoediting in primary melanoma at single cell resolution
Nirmal, A. J., Maliga, Z., Vallius, T., Quattrochi, B., Chen, A. A., Jacobson, C. A., Pelletier, R. J., Yapp, C., Arias-Camison, R., Chen, Y.-A., Lian, C. G., Murphy, G. F., Santagata, S., Sorger, P. K.
10.1101/2021.05.23.445310 — Posted: 2022-02-14
Single Cell Spatial Analysis Reveals the Topology of Immunomodulatory Purinergic Signaling in Glioblastoma
Coy, S., Wang, S., Stopka, S. A., Lin, J.-R., Rashid, R., Yapp, C., Ritch, C. C., Khadka, P., Regan, M., Hwang, J., Wen, P. Y., Bandopadhayay, P., Ligon, K. L., Agar, N. Y., Sorger, P. K., Touat, M., Santagata, S.
10.1101/2022.01.12.475925 — Posted: 2022-01-12
Characterization of metabolic compartmentalization in the liver using spatially resolved metabolomics
van der Reest, J., Stopka, S. A., Abdelmoula, W. M., Ruiz, D. F., Joshi, S., Ringel, A., Haigis, M. C., Agar, N. Y. R.
10.1101/2021.12.13.472421 — Posted: 2021-12-13
Design principles to assemble drug combinations for effective tuberculosis therapy using interpretable pairwise drug response measurements
Larkins-Ford, J., Degefu, Y. N., Van, N., Sokolov, A., Aldridge, B. B.
10.1101/2021.12.05.471248 — Posted: 2021-12-06
Gilda: biomedical entity text normalization with machine-learned disambiguation as a service
Gyori, B. M., Hoyt, C. T., Steppi, A.
10.1101/2021.09.10.459803 — Posted: 2021-09-11
STonKGs: A Sophisticated Transformer Trained on Biomedical Text and Knowledge Graphs
Balabin, H., Hoyt, C. T., Birkenbihl, C., Gyori, B. M., Bachman, J. A., Tom Kodamullil, A., Ploeger, P. G., Hofmann-Apitius, M., Domingo-Fernandez, D.
10.1101/2021.08.17.456616 — Posted: 2021-08-18
A LINCS microenvironment perturbation resource for integrative assessment of ligand-mediated molecular and phenotypic responses
Gross, S. M., Dane, M. A., Smith, R. L., Devlin, K., Mclean, I., Derrick, D., Mills, C., Subramanian, K., London, A., Torre, D., Erdem, C., Lyons, N., Natoli, T., Pessa, S., Lu, X., Mullahoo, J., Li, J., Adam, M., Wassie, B., Liu, M., Kilburn, D. F., Liby, T., Bucher, E., Sanchez-Aguila, C., Daily, K., Omberg, L., Wang, Y., Jacobson, C., Yapp, C., Chung, M., Vidovic, D., Lu, Y., Schurer, S., Lee, A., Pillai, A., Subramanian, A., Papanastasiou, M., Fraenkel, E., Feiler, H., Mills, G. B., Jaffe, J., Ma'ayan, A., Birtwistle, M. R., Sorger, P. K., Korkola, J. E., Gray, J. W., Heiser, L. M.
10.1101/2021.08.06.455429 — Posted: 2021-08-09
Integrating multi-omics data reveals function and therapeutic potential of deubiquitinating enzymes
Doherty, L. M., Mills, C. E., Boswell, S. A., Liu, X., Hoyt, C. T., Gyori, B. M., Buhrlage, S. J., Sorger, P. K.
10.1101/2021.08.06.455458 — Posted: 2021-08-09
Single-sequence protein structure prediction using language models from deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Rochereau, C., Church, G. M., Sorger, P. K., AlQuraishi, M. N.
10.1101/2021.08.02.454840 — Posted: 2021-08-04

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