Lior Zimmerman
Amano Enzyme (Japan)(JP)Institute of Molecular Life Sciences(HU)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, Microbial Metabolic Engineering and Bioproduction, Cell Image Analysis Techniques, Enzyme Catalysis and Immobilization
Most-Cited Works
- → Rosetta FlexPepDock ab-initio: Simultaneous Folding, Docking and Refinement of Peptides onto Their Receptors(2011)324 cited
- → Structure-Based Identification of HDAC8 Non-histone Substrates(2016)55 cited
- → Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes(2024)10 cited
- → A Novel System for Functional Determination of Variants of Uncertain Significance using Deep Convolutional Neural Networks(2020)7 cited
- → Performance upgrade of a microbial explosives’ sensor strain by screening a high throughput saturation library of a transcriptional regulator(2023)3 cited
- → Context-Dependent Design of Induced-fit Enzymes using Deep Learning Generates Well Expressed, Thermally Stable and Active Enzymes(2023)2 cited
- → StabilizeIT: An Automated Workflow for Protein Stabilization(2025)
- → Abstract 2447: Accurate prediction of the signaling pathway activity elicited by variants of uncertain significance (VUS) and their drug sensitivity using deep convolutional neural networks on florescent microscopy images of cells(2019)
- → Mapping the activation landscape of the MAPK\ERK pathway for variants of unknown significance (VUS) using convolutional neural networks (CNN).(2019)