1.3k citations · 1.4k across the 14 of their papers we have counts for
15 papers
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands
Ayan Chatterjee, Robin Walters, Zohair Shafi +7
Identifying novel drug-target interactions (DTI) is a critical and rate limiting step in drug discovery. While deep learning models have been proposed to accelerate the identificat…
Recovery Coupling in Multilayer Networks
Michael M. Danziger, Albert-László Barabási
The increased complexity of infrastructure systems has resulted in critical interdependencies between multiple networks---communication systems require electricity, while the norma…
3D Topology Transformation with Generative Adversarial Networks
Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási +1
Generation and transformation of images and videos using artificial intelligence have flourished over the past few years. Yet, there are only a few works aiming to produce creative…
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Chintan Shah, Nima Dehmamy, Nicola Perra +4
Locating the source of an epidemic, or patient zero (P0), can provide critical insights into the infection's transmission course and allow efficient resource allocation. Existing m…
Synthetic ablations in the C. elegans nervous system
Emma K. Towlson, Albert-László Barabási
Synthetic lethality, the finding that the simultaneous knockout of two or more individually non-essential genes leads to cell or organism death, has offered a systematic framework…
Control energy scaling in temporal networks
Aming Li, Sean P. Cornelius, Yang-Yu Liu +2
In practical terms, controlling a network requires manipulating a large number of nodes with a comparatively small number of external inputs, a process that is facilitated by paths…