NANO GENETICS / KNOWLEDGE CENTRE
Understand the connections.Ask the next question.
Sensors, DNA, protein models and quantum physics. Here we explain what they are, how they work and how they can connect to the digital world.
Start with a question, follow a signal and see what can actually be measured. Our guides bring together foundations, examples and limitations so you can understand the whole chain here at Nano Genetics.
Three levels make knowledge useful.
Established
Methods or principles already used and tested within the context described.
Demonstrated in research
A published experiment can demonstrate a possibility under specified conditions. Everyday use may still be some distance away.
The next question
What still needs testing: does it work in another setting, over time or alongside more components?
These are our educational explanations of the field. Research findings are attributed to their original sources; Nano Genetics’ own projects are at the concept and development-planning stage.
01 / UNDERSTAND IN DEPTH
Sensors. Where reality becomes data.
A sensor makes a property measurable. A good system also makes the quality of that measurement understandable.
What is a sensor?
A sensor responds to a physical or chemical property and makes the change readable. That could be temperature, pressure, light, movement or the presence of a particular substance. To obtain a useful measurement, we also need to know what its output means. [1]
Think of a digital thermometer. Heat affects a temperature-sensitive element. Electronics read the change, a conversion produces degrees and a display presents the result. The sensor, conversion and presentation are different parts of the same measurement chain.
Sensor, biosensor and algorithm
A biosensor uses a biological recognition element, such as an enzyme, together with a way to read the reaction. A sensor measuring a bodily signal does not necessarily contain such an element. Optical pulse sensing records changing light; an algorithm then estimates pulse rate from that signal. [1]
Four questions before connection
Which quantity?
Write down what you will measure and in which unit. Temperature in °C and illuminance in lux are different questions, even when both appear as numbers.
Which interface?
An analogue output often needs an analogue-to-digital converter. A digital sensor may already provide values through an interface such as I²C. Always check voltage and connections for the chosen component.
Which timing?
Decide how often values are needed and timestamp them. Reading a slow sensor more frequently does not automatically produce more information.
Which comparison?
Test against a known reference. Preserve failed readings and measurement conditions so errors can be distinguished from real changes.
A precise-looking number can still be wrong.
Resolution describes the smallest steps a system can display. Accuracy concerns closeness to a true or accepted reference value. A display with many decimal places therefore does not prove that the measurement is good. Our practical guide follows a simple sensor from connection to a value you can review.
Open the complete sensor guide02 / UNDERSTAND IN DEPTH
DNA. Information in a living environment.
Reading a sequence is an important step. Understanding what it does requires further layers of knowledge.
A molecule with a readable sequence
DNA consists of two chains of building blocks containing the bases A, T, C and G. In the double helix, A pairs with T and C with G. Their order is biological information, but that information gains function through the cell’s machinery and the environment in which it is used. [2]
A protein-coding gene can be copied into messenger RNA. Ribosomes then use that RNA message to assemble amino acids into a protein. Other RNA molecules perform functions of their own. DNA, RNA and protein are therefore different levels of information, not interchangeable measurements. [2] [3]
How does the molecule become digital?
Sequencing determines the order of bases. Instrument observations are converted into digital sequences that can be compared, organised and analysed. A sequence file records what was read; interpretation also needs the sample’s origin, the analytical method and quality checks. [4]
To ask which genes are being used in a sample, researchers can instead examine RNA, for example through RNA sequencing. A skin sample and a nerve cell can have very similar DNA but different active gene programmes. One measurement layer therefore does not describe the cell’s entire state. [3] [5]
Established
DNA can be sequenced and RNA expression measured. Digital analysis helps organise and compare biological data.
The next question
How does an observed difference relate to function? A difference in data needs biological testing before assigning it a definite explanation.
03 / UNDERSTAND IN DEPTH
Protein models. A hypothesis in three dimensions.
Digital biology becomes useful when we can both use a model and understand which questions it leaves unanswered.
Why does shape matter?
Proteins are chains of amino acids that can form three-dimensional structures. Shape and chemical properties influence which molecules a protein can interact with. A structural model therefore provides a way to ask more precise questions about biological function. [7]
AlphaFold2 was a major milestone because it demonstrated highly accurate structure prediction in the CASP14 assessment. Its output consists of calculated atomic positions derived from a sequence and other model information. This makes many structural hypotheses easier to formulate. [7]
How to read a model
Start with the question you want to answer. Are you exploring the shape of one region, the relative position of two regions or whether a proposed contact is worth examining? Different questions require different evidence.
pLDDT describes local model confidence on a scale from 0 to 100. PAE describes uncertainty in the relative positions of regions. Two locally well-modelled regions can therefore still have uncertain placement relative to one another. Read both when your question concerns the whole structure. [8] [9]
Demonstrated in research
Models can predict many protein structures with high accuracy. The result needs to be read alongside the model’s uncertainty.
An open challenge
A single structure does not automatically reveal every motion, interaction or effect of a mutation. Model type and biological context determine which conclusions are reasonable.
04 / UNDERSTAND IN DEPTH
Quantum biology. Small processes, precise questions.
Understanding a possible quantum effect means following the whole path from the molecule to biological function.
What does quantum biology mean?
Quantum biology examines how quantum processes can influence biological functions. One concrete question is whether electron spins in light-activated molecules can contribute to animals’ magnetic sensitivity. Molecular chemistry, physics and measurable biological questions meet here. [10]
Spin is a quantum property of particles such as electrons. A radical pair contains two molecular parts with unpaired electrons. A magnetic field can influence how their joint spin state changes and, under suitable conditions, which reaction pathways become available. [10]
What has actually been demonstrated?
In 2021, Xu and colleagues demonstrated magnetic sensitivity in the photochemistry of robin cryptochrome 4 in the laboratory. The study supports a possible molecular mechanism. On its own, it does not establish the entire pathway from the protein to a bird’s orientation. [10]
Later studies examined cryptochrome evolution and how cryptochrome 4a can interact with lipid membranes. Such results help researchers ask where the molecule acts and how a molecular change might be passed on as a biological signal. [11] [12]
Three terms, three different questions.
Quantum biology concerns biological processes. Quantum sensors use quantum physics to measure. Quantum computers use quantum states for computation. A quantum mechanism in a biological reaction does not imply that it performs general computation or gives a person enhanced intelligence.
See how quantum physics becomes a measuring instrument05 / UNDERSTAND IN DEPTH
Quantum sensors. Physics you can read out.
The sophistication lies in the measurement principle. For the user, the result still needs to be understandable and reviewable.
An atomic defect as a measuring tool
An NV centre in diamond consists of a nitrogen atom replacing carbon and a neighbouring vacancy in the crystal. The electron spin’s energy levels respond to the magnetic field. That turns a very small part of a material into a tool for examining its surroundings. [13]
In a common readout scheme, green light illuminates the diamond, which emits red light. Microwaves influence the spin state. By tracking when the red-light intensity changes, the instrument can infer the magnetic field. Optics, electronics and analysis work together here. [13] [14]
How does this become a digital measurement?
A detector collects the light. The reading is associated with the instrument settings, and a computational model converts the response into a field value. At the data level, the same care is needed as for simpler sensors: units, timing, measurement conditions and uncertainty.
Demonstrated in research
NV-based magnetometry works in laboratories, including at room temperature. The quantum structure forms part of a larger optical and electronic measuring system.
The next question
Which task needs this sensitivity? How do distance, interference and instrument size affect usefulness? An advanced sensor needs a concrete task to be a good choice.
06 / FROM KNOWLEDGE TO SYSTEM
The parts meet in a well-defined question.
We see measurement as the connection between biology, materials and digital tools. Begin by choosing what the system should help a person understand or do, then build the chain that can test it.
1. Define the purpose
For example: should an interface show that an object is moving, or help a person confirm an intention? Define an observable result.
2. Choose the observation
Decide which signal can answer the question. Molecular analysis, motion sensing and magnetometry provide different types of evidence.
3. Preserve context
Keep origin, time, unit and quality alongside the value. Keep raw data and the model’s conclusion distinct so the interpretation remains traceable.
4. Close the feedback loop
Show what the system knows, what is uncertain and which choice the person has. Also test what happens when a sensor is disconnected or data is missing.
SHORT ANSWERS
From curiosity to understanding.
Is a sensor the same thing as AI?
No. A sensor records something in the world. AI can be used at a later stage to find patterns or make estimates. A sensor system can also work with simple rules and no AI.
Can any sensor read DNA?
No. DNA analysis needs a method suited to the molecule and the question, with appropriate sample handling and instrumentation. A temperature or movement sensor measures different quantities and does not produce a DNA sequence.
Does high model confidence prove the biology?
No. Confidence concerns a model’s assessment of a particular output. A structural prediction and an experiment on biological function answer different questions.
What first step does Nano Genetics suggest?
Follow our sensor guide with a simple tabletop measurement. This lets you understand power, communication, timestamps and data quality before moving on to more complex systems.
Where can I find the evidence?
The explanations and examples are here on the page. The bibliography below makes the scientific foundations traceable for readers who want to examine the originals.
EVIDENCE & RESPONSIBILITY
Knowledge should be traceable.
The explanations, workflows and connections on this page are our editorial synthesis. The cited studies are independent research and do not imply collaboration with Nano Genetics. Practical workflows here are educational proposals, not reports of company experiments.
Content responsibility: Nano Genetics Sweden AB. Reviewed .
Show bibliography · 14 sources
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NIH / NHGRI
Deoxyribonucleic Acid (DNA) Fact SheetDNA structure and the information pathway to protein.
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JUMPER ET AL. / NATURE / 2021
Highly accurate protein structure prediction with AlphaFoldPrimary study on AlphaFold2 and structure prediction.
- 08
EMBL-EBI / ALPHAFOLD TRAINING
Evaluating AlphaFold2’s predicted structures using confidence scoresAssessing model uncertainty.
- 09
EMBL-EBI / ALPHAFOLD DB
AlphaFold Protein Structure Database FAQpLDDT, PAE and interpretation of structural models.
- 10
XU ET AL. / NATURE / 2021
Magnetic sensitivity of cryptochrome 4 from a migratory songbirdMagnetic sensitivity of robin cryptochrome 4 in vitro.
- 11
PRIMARY RESEARCH / 2024
Adaptive evolution and loss of a putative magnetoreceptor in passerinesEvolutionary evidence concerning the candidate mechanism.
- 12
PRIMARY RESEARCH / 2025
European Robin Cryptochrome-4a Associates with Lipid Bilayers in an Ordered MannerA possible connection between protein and membrane.
- 13
NIST / NOAC
Nitrogen-Vacancy (NV) Center MagnetometryNV structure, optical readout and measurement principle.
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