1Identify Goal
→
2Curate Data
→
3Design
→
4Run
→
5Contribute
EASME Base focuses on Design and Run phases of computational evolution experiments
🚀 Getting Started
1
Configure Host
●
Set up execution environment — local or remote HPC
System Settings →
2
Verify Runtime
●
Check Python environment and EASME.CORE availability
3
Design Experiment
○
Configure evolutionary operators, fitness function, and parameters
Open Designer →
4
Execute & Monitor
○
Run experiment and track progress in real-time
View Runs →📊 Run Statistics
🕐 Recent Runs
View All →⚡ Optimization Presets
Quick-start templates for common evolutionary optimization goals
Thermostability
Optimize protein thermal stability via MD simulation
Fluorescence
Enhance fluorescent protein brightness/emission
Binding Affinity
Optimize protein-ligand binding strength
Sequence Conservation
Evolve toward target sequence/motif alignment
Solubility
Reduce aggregation propensity
Custom Function
Define your own fitness evaluation
🧰 Evolutionary Toolkit
Explore available EASME.CORE modules and operators
Select a module to explore its operators