P67965 AF NFT

Vascular endothelial growth factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidzdebtihk622tqwldbhnftyorp77i7vihekuzcj64ekac7e7byra/metadata.json
IPFS of structure file: 
bafybeibzgrisfdnjzaclditfxuyg5zgbe5gu5rcy5nwxgkcvnqaopyx4gq/AF-P67965-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6b3373535645884b693Bc933E91A27320E504095
First NFT owner address (bech32): 
genesis1dvehx56kgkyyk6fmeye7jx38xg89qsy4mtws69
Current NFT ID #496039 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496039
Accession (UniProt):
P67965
Name::
Vascular endothelial growth factor A
Experimental Method:
Predicted structure
Sequence source:
COTURNIX JAPONICA

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 P67965 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P67965|VEGFA_COTJA Vascular endothelial growth factor A OS=Coturnix japonica OX=93934 GN=VEGFA PE=2 SV=1 MNFLLTWIHWGLAALLYLQSAELSKAAPALGDGERKPNEVIKFLEVYERSFCRTIETLVDIFQEYPDEVEYIFRPSCVPLMRCAGCCGDEGLECVPVDVYNVTMEIARIKPHQSQHIAHMSFLQHSKCDCRPKKDVKNKQEKKSKRGKGKGQKRKRKKGRYKPPSFHCEPCSERRKHLFVQDPQTCKCSCKFTDSRCKSRQLELNERTCRCEKPRR