Arkin, Michelle R.

Small-molecule inhibitors of protein–protein interactions: progressing towards the dream

Arkin, M. R., & Wells, J. A. (2004) · Nature Reviews Drug Discovery

Chemical Synthesis and AnalysisProtein Degradation and Inhibitors

Cited by 1,705

Small-Molecule Inhibitors of Protein-Protein Interactions: Progressing toward the Reality

Arkin, M. R., Tang, Y., & Wells, J. A. (2014) · Chemistry & Biology

Computational Drug Discovery MethodsChemical Synthesis and Analysis

Cited by 1,065

USP7 small-molecule inhibitors interfere with ubiquitin binding.

Kategaya, L., Di Lello, P., Rougé, L., Pastor, R., Clark, K. R., Drummond, J., Kleinheinz, T., Lin, E., Upton, J.-P., Prakash, S., et al. (2017) · Nature

Ubiquitin and proteasome pathwaysProtein Degradation and Inhibitors

Cited by 333

Fibrin-targeting immunotherapy protects against neuroinflammation and neurodegeneration

Ryu, J. K., Rafalski, V. A., Meyer-Franke, A., Adams, R. A., Poda, S. B., Rios Coronado, P. E., Pedersen, L. Ø., Menon, V., Baeten, K. M., Sikorski, S. L., et al. (2018) · Nature Immunology

Neuroinflammation and Neurodegeneration MechanismsMultiple Sclerosis Research Studies

Cited by 213

Transcriptional profiling and therapeutic targeting of oxidative stress in neuroinflammation

Mendiola, A. S., Ryu, J. K., Bardehle, S., Meyer-Franke, A., Ang, K. K.-H., Wilson, C., Baeten, K. M., Hanspers, K., Merlini, M., Thomas, S., et al. (2020) · Nature Immunology

Neuroinflammation and Neurodegeneration MechanismsMultiple Sclerosis Research Studies

Cited by 199

The road less traveled: modulating signal transduction enzymes by inhibiting their protein–protein interactions

Arkin, M. R., & Whitty, A. (2009) · Current Opinion in Chemical Biology

Protein Kinase Regulation and GTPase SignalingChemical Synthesis and Analysis

Cited by 190

Covalent targeting of acquired cysteines in cancer

Visscher, M., Arkin, M. R., & Dansen, T. B. (2016) · Current Opinion in Chemical Biology

Click Chemistry and ApplicationsSulfur-Based Synthesis Techniques

Cited by 95

Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery

Ekins, S., Lage de Siqueira-Neto, J., McCall, L.-I., Sarker, M., Yadav, M., Ponder, E. L., Kallel, E. A., Kellar, D., Chen, S., Arkin, M., et al. (2015) · PLOS Neglected Tropical Diseases

Computational Drug Discovery MethodsTrypanosoma species research and implications

Cited by 93