Journal | SAGE Lab

Chemical space separation: Scaffold and UMAP splits are closer to random than we think

Bryn Marie Reimer, Vy Do, Anna G. Green

FARM: Forecasting Antibiotic Resistance in Mycobacterium tuberculosis using biophysics and machine learning

Mahbuba Tasmin, Shrishti Barethiya, Yu Wang, Lulu Kang, Jianhan G. Chen, Anna G. Green

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning

Irene Lepori, Zichen Liu, Nelson Evbarunegbe, Shasha Feng, Turner P. Brown, Kishor Mane, Rachita Dash, Shivangi, Mitchell Wong, Ananya Naick, Amir George, Taijie Guo, Anil M. Shelke, K. Barry Sharpless, Jiajia Dong, Joel S. Freundlich, Wonpil Im, Anna G. Green, Marcos M. Pires, M. Sloan Siegrist

ActiveFusion: Fused representations improve active learning for molecular property prediction

Nelson Evbarunegbe, Shiyun Wa, Luke Taylor, Anna G. Green

A Frameshift Mutation in the Methyltransferase rlmN Is Associated with Increased Linezolid Resistance in Mycobacterium tuberculosis

Bryn Marie Reimer, Anna G. Green

Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response

Sanjana G. Kulkarni, Anna G. Green, Brendon C. Mann, Samantha Malatesta, Suchitra Kulkarni-Goodwin, Nina Cesare, Shandukani Mulaudzi, Noorjahn Rawoot, Robin M. Warren, Karen R. Jacobson, Maha R. Farhat

MycoPermeNet-v2: Improved Prediction of Mycomembrane Permeation Using Fusion Noisy Student Self-Distillation

Nelson Evbarunegbe, Shiyun Wa, Isha Karn, Anna G. Green

BIG-TB: A benchmark for prediction and interpretability of sequence-based machine learning using Mycobacterium tuberculosis genomes

Mahbuba Tasmin, Saishradha Mohanty, Sanjana Kulkarni, Maha R. Farhat, Anna G. Green

The structural context of mutations in proteins predicts their effect on antibiotic resistance

Anna G. Green, Mahbuba Tasmin, Roger Vargas Jr, Maha R. Farhat

ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics

Mariella Greutmann, Karsten Borgwardt, Sarah Brüningk, Fabian Franzeck, Christian G. Giske, Anna G. Green, Alejandro Guerrero-López, Margaret Ip, Catherine Jutzeler, Andre Kahles, Michael Krauthammer, Nenad Macesic, Benjamin McFadden, Eline Meijer, Nathan Moore, Jacob Moran-Gilad, Imane Lboukili, Oliver Nolte, Robin Patel, Gerold Schneider, Markus A. Seeger, Tavpritesh Sethi, Robert L. Skov, Chang Ho Yoon, Belén Rodríguez-Sánchez, Adrian Egli