Fang, Bin
Novartis Institutes for BioMedical Research, San Diego, California 92121, United States
6 papers on CoChatORCID 0000-0002-7636-1318
Most cited papers
- Verified
HDAC6 Deacetylates and Ubiquitinates MSH2 to Maintain Proper Levels of MutSα
Zhang, M., Xiang, S., Joo, H.-Y., Wang, L., Williams, K. A., Liu, W., Hu, C., Tong, D., Haakenson, J., Wang, C., et al. (2014) · Molecular Cell
DNA Repair MechanismsHistone Deacetylase Inhibitors Research
Cited by 151
- Verified
Genetic Variation Determines PPARγ Function and Anti-diabetic Drug Response In Vivo
Soccio, R. E., Chen, E. R., Rajapurkar, S. R., Safabakhsh, P., Marinis, J. M., Dispirito, J. R., Emmett, M. J., Briggs, E. R., Fang, B., Everett, L. J., et al. (2015) · Cell
Peroxisome Proliferator-Activated ReceptorsGenetic Associations and Epidemiology
Cited by 117
- Verified
Cell Type–Specific Adaptive Signaling Responses to KRASG12C Inhibition
Solanki, H. S., Welsh, E. A., Fang, B., Izumi, V., Darville, L., Stone, B., Franzese, R., Chavan, S., Kinose, F., Imbody, D., et al. (2021) · Clinical Cancer Research
Protein Kinase Regulation and GTPase SignalingLung Cancer Treatments and Mutations
Cited by 106
- Verified
Plasma cell dependence on histone/protein deacetylase 11 reveals a therapeutic target in multiple myeloma
Mostofa, A., Distler, A., Meads, M. B., Sahakian, E., Powers, J. J., Achille, A., Noyes, D., Wright, G., Fang, B., Izumi, V., et al. (2021) · JCI Insight
Multiple Myeloma Research and TreatmentsHistone Deacetylase Inhibitors Research
Cited by 27
- Verified
Compound activity prediction with dose-dependent transcriptomic profiles and deep learning
Godinez, W. J., Trifonov, V., Fang, B., Kuzu, G., Pei, L., Guiguemde, W. A., Martin, E. J., King, F. J., Jenkins, J. L., & Skewes-Cox, P. (2023) · Journal of Chemical Information and Modeling
Computational Drug Discovery MethodsGene expression and cancer classification
Cited by 7
- Verified
Compound Activity Prediction with Dose-Dependent Transcriptomic Profiles and Deep Learning
Godinez, W. J., Trifonov, V., Fang, B., Kuzu, G., Pei, L., Guiguemde, W. A., Martin, E. J., King, F. J., Jenkins, J. L., & Skewes-Cox, P. (2024) · Journal of Chemical Information and Modeling
Computational Drug Discovery MethodsGene expression and cancer classification
Cited by 7
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