Mohammad Sultan

According to our database, Mohammad Sultan authored at least 10 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors.

Benson Chen, Tomasz Danel, Gabriel H. S. Dreiman, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Kent Gorday, Mohammad Sultan, Nathaniel Stanley, Daniel M. Whalen, Divya Kanichar, Christoph Klein, Emily Fox, R. Edward Watts

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Compositional Deep Probabilistic Models of DNA-Encoded Libraries.

Benson Chen, Mohammad M. Sultan, Theofanis Karaletsos

J. Chem. Inf. Model., February, 2024

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors.

Benson Chen, Tomasz Danel, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Gabriel H. S. Dreiman, Mohammad Sultan, Nathaniel Stanley, Daniel M. Whalen, Divya Kanichar, Christoph Klein, Emily Fox, Edward Raff

CoRR, 2024

2023

DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries.

Kirill Shmilovich, Benson Chen, Theofanis Karaletsos, Mohammad M. Sultan

J. Chem. Inf. Model., May, 2023

2021

The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter.

Mohammad M. Sultan, Daniel Biediger, Bernard Li, Aaron T. Becker

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2018

Using Deep Learning for Segmentation and Counting within Microscopy Data.

Carlos X. Hernández, Mohammad M. Sultan, Vijay S. Pande

CoRR, 2018

Decision functions from supervised machine learning algorithms as collective variables for accelerating molecular simulations.

Mohammad M. Sultan, Vijay S. Pande

CoRR, 2018

2017

MSMExplorer: Data Visualizations for Biomolecular Dynamics.

Carlos X. Hernández, Matthew P. Harrigan, Mohammad M. Sultan, Vijay S. Pande

J. Open Source Softw., 2017

2016

Osprey: Hyperparameter Optimization for Machine Learning.

Robert T. McGibbon, Carlos X. Hernández, Matthew P. Harrigan, Steven Kearnes, Mohammad M. Sultan, Stanislaw Jastrzebski, Brooke E. Husic, Vijay S. Pande

J. Open Source Softw., 2016

2014

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models.

Robert McGibbon, Bharath Ramsundar, Mohammad Sultan, Gert Kiss, Vijay S. Pande

Proceedings of the 31th International Conference on Machine Learning, 2014