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Zhen Lab – Development of the <em>C. elegans</em> brain, <br>one neuron at a time — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Biological Sciences →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
intelliyeast.com ↗	62 match 2 shared topics	IntelliYeast \| Scientifically developed for you fermentation needs!	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
houseofspores.net ↗	61 match 2 shared topics	House of Spores \| The Genesis Catalog	en	biological-sciences Shopify	robots llmsaihumans	emailphone	none
llewellynlab.com ↗	61 match 2 shared topics	Llewellyn Lab Group Glasgow \| Research & Projects Overview	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
livecells.com ↗	61 match 2 shared topics	Unlocking the Power of Live Cells: Exploring the Frontiers of Cellular Research	en	biological-sciences	robotsllmsaihumans	emailphone	none
astlabweizmann.com ↗	61 match 2 shared topics	Tslil Ast Lab \| Iron-Sulfur Clusters	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
atp-luminescent.com ↗	61 match 2 shared topics	Inhibitor Insights Library – Inhibitor Research Hub	en	biological-sciences	robotsllmsaihumans	emailphone	none
esabweb.org ↗	61 match 2 shared topics	ESAB - European Society of Applied Biocatalysis	en	biological-sciences	robotsllmsaihumans	emailphone	none
cathepsinsinhibitor.com ↗	61 match 2 shared topics	Online Inhibitor – papers about Inhibitor	en	biological-sciences	robotsllmsaihumans	emailphone	none
protocolzerolabs.com ↗	61 match 2 shared topics	Protocol Zero Lab \| Compound Research Tool	en	biological-sciences	robots llmsaihumans	emailphone	none
protocolzerolab.com ↗	61 match 2 shared topics	Protocol Zero Lab \| Compound Research Tool	en	biological-sciences	robots llmsaihumans	emailphone	none
proteomosaic.com ↗	61 match 2 shared topics	ProteoMosaic – Revolutionizing Ligand Discovery	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
elementalhub.org ↗	61 match 2 shared topics	ELEMENTAL Elemental BBSRC Engineering Biology Mission Hub	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
bioexcel.eu ↗	61 match 2 shared topics	BioExcel – Centre of Excellence for Computation Biomolecular Research – Centre of Excellence for Computational Biomolecular Research	European Union en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
proteomedge.com ↗	61 match 2 shared topics	ProteomEdge – Unique concept for MS-based quantification	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
proteincircuit.com ↗	61 match 2 shared topics	Protein Circuits: Computation Inside the Cell, Communication Between Cells	en	biological-sciences	robotsllmsaihumans	emailphone	none
divide-eunetwork.eu ↗	61 match 2 shared topics	DivIDE \| Training a new generation of molecular engineers to address cell division.	European Union en	biological-sciences Drupal	robotsllmsaihumans	emailphone	none
elaidylab.org ↗	61 match 2 shared topics	El Aidy Lab	en	biological-sciences	robotsllmsaihumans	emailphone	none
intrinsicbiosciences.com ↗	61 match 2 shared topics	Fuel your research with premium oligonucleotides – Chemistry for Bioimaging	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.