OVERVIEW
Precision biologics designed around your specific challenges
As solution architects, we recognise that there is no one-size-fits-all approach to biologics discovery. Each of our custom workflows draws on one or more of Etcembly’s validated structural and computational capabilities...
to address the specific challenges of co-complex prediction, small molecule design, functional immune discovery, and antibody expression.
Some of these validated capabilities also power EMLy Co-pilot, while others are currently delivered only through these custom workflows.
HAVE A SPECIALIZED PROJECT?
Connect with us to learn about custom solutions to meet your unique needs.
WORKFLOW 1
Co-complex prediction
The challenge
Current computational tools do not reliably predict binding and affinity across full immune receptor–target co-complexes, such as TCR-pMHC complexes.
What this workflow delivers
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High-precision affinity modelling via structure-aware protein docking
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Scoring of docked models to select near-native conformations
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Identification of similar binding poses across docked models
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Better early-stage decision-making around candidate viability
Approach
Binder prediction and affinity optimisation are performed using molecular dynamics-based protein docking designed for full TCR–pMHC co-complexes. Docked models are scored to identify near-native conformations and similar binding poses. Geometric descriptors capture the spatial organization of the complex, enabling the model to learn key biological constraints more effectively with substantially less data.
WORKFLOW 2
Small molecule design
The challenge
Standard structural biology computational approaches do not capture the full structural landscape of trimeric cytokines.
What this workflow delivers
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Analysis of complex and transitional cytokine conformations
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Identification of binding pockets and allosteric sites for biased ligand design
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Structural support for antibody discovery against cryptic epitopes
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Improved accuracy in early-stage hit discovery
WORKFLOW 3
Functional immune discovery
The challenge
Identification of representative immune sequences requires analysis across large datasets.
What this workflow delivers
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Sequencing and functional annotation across immune repertoires
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Discovery of functional motifs that represent promising leads and biomarkers
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Insights to support optimisation of hit antibodies
Approach
Our proprietary high-throughput microfluidics platform for paired immune sequencing powers this workflow. Combined with machine learning, diversity and clustering analyses, and integration with multi-omics datasets, this approach enables functional annotation of large immune datasets to inform biomarker and lead discovery.
WORKFLOW 4
Antibody expression enhancement
The challenge
Candidate developability can be limited by structural elements that contribute to misfolding, instability, and poor solubility.
What this workflow delivers
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Expression-boosting candidate mutations
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Structural and in-silico predictions associated with improved ability
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Assessment of aggregation risk while preserving structure and function
