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Van der Kamp Group – Biomolecular modelling and computational enzymology — 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
ianbouyoucos.com ↗	77 match 1 shared topics	Ian Bouyoucos – Fish Ecophysiology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
cheethamlab.com ↗	76 match 1 shared topics	CHEETHAM LAB – We are in the Dept. of Neurobiology at the University of Pittsburgh	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
claesengroup.org ↗	68 match 1 shared topics	Claesen group – Unraveling the microbiome on a molecular level	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
czechmycology.com ↗	66 match 1 shared topics	CZECH MYCOLOGY \| international scientific journal on mycology	en	biological-sciences	robotsllmsaihumans	emailphone	none
czechmycology.org ↗	66 match 1 shared topics	CZECH MYCOLOGY \| international scientific journal on mycology	en	biological-sciences	robotsllmsaihumans	emailphone	none
storedproductinsects.com ↗	65 match 1 shared topics	storedproductinsects \| This WordPress.com site is the bee's knees	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
frumkinlab.com ↗	64 match 1 shared topics	Frumkin Lab \| Molecular Evolution	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
ahrensplantevol.org ↗	64 match 1 shared topics	Collin Ahrens – Plant Adaptation, Evolution, and Ecology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
baiomlabs.com ↗	64 match 1 shared topics	baiom labs - Modeling biology	en	biological-sciences	robotsllmsaihumans	emailphone	none
labprepx.com ↗	64 match 1 shared topics	LabPrepX — Free Scientific Calculators for Molecular Biology & Life Science	en	biological-sciences Reaction Commerce	robotsllmsaihumans	emailphone	none
acimacherian.com ↗	63 match 1 shared topics	Acima Cherian – Endeavors and distractions in wildlife ecology and education	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
icbiols.com ↗	63 match 1 shared topics	2026 13th International Conference on Biology and Life Sciences（ICBLS2026）	en	biological-sciences	robotsllmsaihumans	emailphone	none
kxuelab.com ↗	63 match 1 shared topics	Xue lab at UC Irvine – Ecology and evolution in the human gut microbiome	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
cleterrier.net ↗	63 match 1 shared topics	NeuroCyto Lab – The neuronal cytoskeleton in physiology and disease	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
chefanhuanglab.com ↗	63 match 1 shared topics	Huang Research Group @ TAMU Chemistry – Top-Down Proteomics & Proteoform Biology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
admb-foundation.org ↗	63 match 1 shared topics	ADMB Foundation \| Supporting the AD Model Builder Community	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
1000rivers.net ↗	63 match 1 shared topics	International fish edna project – Combining citizen science with eDNA to survey river fish communities	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
changliulab.com ↗	63 match 1 shared topics	Chang Liu Team -- Tree cell wall formation and wall signal Group	en	biological-sciences	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.