Q8UUR3 AF NFT

Cytoglobin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihumwv67yb6ufgsughx2t5xj72oqpv6hq3x66u7vlahklcnsp6vfe/metadata.json
IPFS of structure file: 
bafybeihhmpsbb6fk62roct2dqprhvyxe2suw6veg62niuougwka7nxr7aq/AF-Q8UUR3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE53D9b18C084860CD6c52730Cf1F4b663449495A
First NFT owner address (bech32): 
genesis1u57ekxxqsjrqe4k9yucv786tvc6yjj26z0j7ju
Current NFT ID #84721 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
84721
Accession (UniProt):
Q8UUR3
Name::
Cytoglobin-1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q8UUR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8UUR3|CYGB1_DANRE Cytoglobin-1 OS=Danio rerio OX=7955 GN=cygb1 PE=2 SV=2 MEGDGGVQLTQSPDSLTEEDVCVIQDTWKPVYAERDNAGVAVLVRFFTNFPSAKQYFEHFRELQDPAEMQQNAQLKEHGQRVLNALNTLVENLRDADKLNTIFNQMGKSHALRHKVDPVYFKILAGVILEVLVEAFPQCFSPAEVQSSWSKLMGILYWQMNRVYAEVGWENSKK