I live my life in circles that grow wide And endlessly unroll, I may not reach the last, but on I glide Strong pinioned toward my goal. About the old tower, dark against the sky, The beat of my wings hums, I circle about God, sweep far and high On through milleniums. Am I a bird that skims the clouds along, Or am I a wild storm, or a great song?
Rainer Maria Rilke, The Book of a Monk's Life
Evidence-first engineering knowledge system
A structured reference book for biological engineering. This guide covers the mechanisms, architectures, components, methods, and design–build–test–learn workflows. It is generated by AI combing the (mostly) human literature, and curating the db into something useful. There is an API service available for programmatic access. This is meant to serve as an inspiration source or workbook for engineering complex biological systems.
Toolkit Model
The collection is best read as two hierarchies beneath workflows: mechanisms and techniques. Within mechanisms, the hierarchy runs from mechanism to architecture to component. Within techniques, the hierarchy runs from technique to method.
Mechanism Branch
Layer 1
Mechanisms
▾Top-level concepts: biophysical action modes such as heterodimerization, photocleavage, or RNA binding.
Layer 1
Mechanisms
A stimulus triggers a structural change that exposes a previously hidden functional element.
A stimulus triggers targeted degradation of a protein via the proteasome or other pathways.
A protein binds DNA in a stimulus-dependent manner to regulate gene expression.
Two different proteins are brought together by a stimulus, enabling recruitment or complex formation.
A protein is recruited to a membrane surface (e.g. plasma membrane) by a stimulus.
A protein self-associates into multimers upon stimulation, enabling clustering or activation.
Light breaks a covalent bond, irreversibly releasing a caged peptide or domain.
A protein or RNA element binds RNA to control translation or stability.
Post-transcriptional regulation of mRNA translation rate or efficiency.
Layer 2
Architectures
▾Arrangements that realize or deploy mechanisms, including switches, construct patterns, and delivery strategies.
Layer 2
Architectures
Layer 3
Components
▾Low-level parts and sequence-defined elements used inside architectures, including protein domains and RNA elements.
Layer 3
Components
Technique Branch
Layer 1
Approaches
▾High-level engineering practices such as computational design, directed evolution, sequence verification, and functional assay.
Layer 1
Approaches
In silico design of protein sequences, structures, or circuits using algorithms or machine learning.
Iterative mutagenesis and selection to evolve improved biological parts.
Measuring the activity or performance of an engineered part in a biological context.
Experimental selection from a library to enrich for variants with desired properties.
Confirming construct identity by Sanger or next-generation sequencing.
Determining 3D structure via X-ray crystallography, cryo-EM, or NMR.
Layer 2
Methods
▾Concrete methods used to design, build, verify, or characterize engineered systems.
Layer 2
Methods
Workflow Layer
Workflows sit above both branches. They combine mechanisms and techniques to obtain, optimize, verify, characterize, deliver, and evaluate engineered systems. These are extracted from the primary literature.
Characterize representative 1-amino-but-3-enes as reactive carbonyl scavengers by measuring kinetics, selectivity, mechanism, and biological activity relevant to aldehyde sequestration.
The workflow combines chemical characterization with simple biological readouts to determine whether reported formaldehyde scavengers are mechanistically reactive, how selective they are across carbonyl species, and whether that chemistry translates into growth promotion or aldehyde sequestration signals in biological material.
Engineer microporous gradient hydrogels with programmable shape morphing that remain compatible with cell encapsulation and support proof-of-concept bone-like tissue formation for 4D tissue engineering.
The abstract states that gradient network density and introduced microporosity create an internal stress mismatch that drives differential swelling and controlled shape transformation, while microporosity is intended to mitigate transport and remodeling limitations of dense shape-morphing hydrogels.
Optimize conditions for efficient cell type-specific chemogenetic ablation in transgenic zebrafish using NTR2.0 with the QF3/QUAS binary gene expression system.
The abstract states that the NTR/metronidazole system enables highly effective spatiotemporal cell ablation, and that combining NTR2.0 with QF3/QUAS in transgenic zebrafish was used to optimize efficient cell type-specific chemogenetic ablation.
Rational design and optimization of cost-effective serum-free media for cultivated meat industrialization.
The abstract proposes that combining data-driven analytics with synthetic biology can replace suboptimal trial-and-error optimization with more systematic medium design and cost-reduction strategies.
Use an explainable and interactive RNA-guided workflow to link DNA and RNA for rare disease diagnostics and identify gene-disease associations.
The workflow is described as handling biological and technical variation in RNA-seq and combining expression and splicing outlier analysis with genomic, phenotypic, and segregation analysis to support clinical interpretation.
Engineer and evaluate a chemically inducible RTK multimerization platform that provides tunable, background-free RTK activation with direct visualization of clustering and controlled downstream ERK signaling.
The abstract states that induced RTK clustering can be directly visualized and that total RTK abundance in clusters correlates with ERK phosphorylation levels, linking the engineered clustering event to downstream signaling output.
Develop a compact and controllable dCas12f-based CRISPRa platform suitable for programmable in vivo endogenous gene activation and therapeutic application.
The abstract states that HEAL was engineered to enhance DNA binding, nuclear localization, and transactivator recruitment, and that compact dCas12f architecture addresses AAV size constraints while inducible variants add remote and precise control.
Choose an optimum acne vulgaris therapy by considering patient-specific factors and treatment class characteristics.
The abstract states that therapy choice is difficult because acne is multifactorial and treatment response varies between individuals, so the review organizes modalities and proposes a therapy-choice step using patient-specific factors.
Showing first 8 workflows