Alan C Cheng (Alan Cheng)

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Molecular Docking

Convolutional Neural Network

Top Venues

Journal of medicinal chemistry

Journal of chemical information and modeling

Bioinformatics (Oxford, England)

Antibodies (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Zachary A Rollins, Talal Widatalla, Andrew Waight, Alan C Cheng, Essam Metwally
AbLEF: antibody language ensemble fusion for thermodynamically empowered property predictions. Bioinformatics (Oxford, England) 40 (5) (2024)
Matthew Adrian, Yunsie Chung, Alan C Cheng
Denoising Drug Discovery Data for Improved Absorption, Distribution, Metabolism, Excretion, and Toxicity Property Prediction. Journal of chemical information and modeling 64 (16) (2024)
Akash M Patel, Aarron Willingham, Alan C Cheng, Daniela Tomazela, Eddie Bowman, Esther Kofman, Fan Zhang, Jianming Bao, Jillian R Sanzone, Jonathan W Choy, John A Flygare, Jin-Hwan Han, Komal Pradhan, Madeleine Kieffer, Natalia Chernyak, Peyman Akbari, Ping Liu, Rimsha Mehmood, Saraswathi Naravula, Scott A Hollingsworth, Bhagyashree Bhagwat, Simon B Lang, W Michael Seganish
Design and Optimization of Selectivity-Tunable Toll-like Receptor 7/8 Agonists as Novel Antibody-Drug Conjugate Payloads. Journal of medicinal chemistry (2024)
Zachary A Rollins, Talal Widatalla, Andrew Waight, Alan C Cheng, Essam Metwally
AbLEF: antibody language ensemble fusion for thermodynamically empowered property predictions. Bioinformatics (Oxford, England) 40 (5) (2024)
Zachary A Rollins, Talal Widatalla, Andrew Waight, Alan C Cheng, Essam Metwally
AbLEF: antibody language ensemble fusion for thermodynamically empowered property predictions. Bioinformatics (Oxford, England) 40 (5) (2024)
Zachary A Rollins, Talal Widatalla, Andrew Waight, Alan C Cheng, Essam Metwally
AbLEF: antibody language ensemble fusion for thermodynamically empowered property predictions. Bioinformatics (Oxford, England) 40 (5) (2024)
Matthew Adrian, Yunsie Chung, Alan C Cheng
Denoising Drug Discovery Data for Improved Absorption, Distribution, Metabolism, Excretion, and Toxicity Property Prediction. Journal of chemical information and modeling (2024)
Victor W Mak, Akash M Patel, Rose Yen, Jennifer Hanisak, Yeon-Hee Lim, Jianming Bao, Rong Zheng, W Michael Seganish, Yang Yu, David R Healy, Aimie Ogawa, Zhao Ren, Aileen Soriano, Grigori P Ermakov, Maribel Beaumont, Essam Metwally, Alan C Cheng, Andreas Verras, Thierry Fischmann, Matthias Zebisch, H Leonardo Silvestre, Paul A McEwan, John Barker, Paul Rearden, Thomas J Greshock
Optimization and Mechanistic Investigations of Novel Allosteric Activators of PKG1α. Journal of medicinal chemistry 65 (15) (2022)
Megan A Lim, Song Yang, Huanghao Mai, Alan C Cheng
Exploring Deep Learning of Quantum Chemical Properties for Absorption, Distribution, Metabolism, and Excretion Predictions. Journal of chemical information and modeling (2022)
Mihirbaran Mandal, Maria Madeira, Rupesh P Amin, Alexei V Buevich, Alan C Cheng, Marc Labroli, Xiaoxiang Liu, John Acton, Barbara Pio, Andrea Basso, Harry Chobanian, Grace Dong, Jamie Dropinski, Yan Guo, Zhuyan Guo, Stan Kurowski, Walter Korfmacher, Sandra Lee, Dongfang Meng, Debra Ondeyka, Zhiqiang Yang, Rumin Zhang, Huijun Wei, Zhicai Wu, Fengqi Zhang, Gordon Wollenberg, Tesfaye Biftu, William J Greenlee, Madhu Chintala, Milana Maletic, Zhaoning Zhu
Lead Optimization to Advance Protease-Activated Receptor-1 Antagonists in Early Discovery. Journal of medicinal chemistry 65 (7) (2022)
Carl Mieczkowski, Alan C Cheng, Thierry O Fischmann, Mark Hsieh, Jeanne Baker, Makiko Uchida, Gopalan Raghunathan, Corey Strickland, Laurence Fayadat-Dilman
Characterization and Modeling of Reversible Antibody Self-Association Provide Insights into Behavior, Prediction, and Correction. Antibodies (Basel, Switzerland) 10 (1) (2021)
Robert P Sheridan, Prabha Karnachi, Matthew Tudor, Yuting Xu, Andy Liaw, Falgun Shah, Alan C Cheng, Elizabeth M Joshi, Meir Glick, Juan Alvarez
Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models? Journal of chemical information and modeling 60 (4) (2020)
Elena L Cáceres, Matthew Tudor, Alan C Cheng
Deep learning approaches in predicting ADMET properties. Future medicinal chemistry 12 (22) (2020)
Evan N Feinberg, Elizabeth M Joshi, Vijay S Pande, Alan C Cheng
Improvement in ADMET Prediction with Multitask Deep Featurization. Journal of medicinal chemistry 63 (16) (2020)