1 citations · 1 across the 1 of their papers we have counts for
3 papers
AI-guided Antibiotic Discovery Pipeline from Target Selection to Compound Identification
Maximilian G. Schuh, Joshua Hesse, Stephan A. Sieber
Antibiotic resistance presents a growing global health crisis, demanding new therapeutic strategies that target novel bacterial mechanisms. Recent advances in protein structure pre…
Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction
Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne +1
Accurate prediction of drug-target interactions is critical for advancing drug discovery. By reducing time and cost, machine learning and deep learning can accelerate this laboriou…
TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction
Maximilian G. Schuh, Davide Boldini, Stephan A. Sieber
The success of drug discovery and development relies on the precise prediction of molecular activities and properties. While in silico molecular property prediction has shown remar…