O08524 AF NFT

Beta-tectorin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5dj6eh7ivftyljha25qtnfxnoerr2r4zwj2r42hkdagj3o5i3hm/metadata.json
IPFS of structure file: 
bafybeiblby4btukbuvempp47tyqxgawwrd5caz5tnwblwu54horj75skfy/AF-O08524-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf0Aa067888A3e900110FDD599F9Aa39D7DF7a484
First NFT owner address (bech32): 
genesis17z4qv7yg505sqyg0m4velx4rn47l0fyyn4wluk
Current NFT ID #460928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
460928
Accession (UniProt):
O08524
Name::
Beta-tectorin
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 O08524 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O08524|TECTB_MOUSE Beta-tectorin OS=Mus musculus OX=10090 GN=Tectb PE=1 SV=2 MVVRAFVLLALFAEASAKSCTPNKADVILVFCYPKTIITKIPECPYGWEVHQLALGGLCYNGVHEGGYYQFVIPDLSPKNKSYCGTQSEYKPPIYHFYSHIVSNDSTVIVKNQPVNYSFSCTYHSTYLVNQAAFDQRVATVHVKNGSMGTFESQLSLNFYTNAKFSTKKEAPFVLETSEIGSDLFAGVEAKGLSVRFKVVLNSCWATPSADFMYPLQWQLINKGCPTDETVLVHENGKDHRATFQFNAFRFQNIPKLSKVWLHCETFICDSEKLSCPVNCDKRKRMLRDQTGGVLVVELSLRSRAFSGLCDFSDVLLHLILMLGTWAVL