C0K3N4 AF NFT

Vascular endothelial growth factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepf7qpriguydrpqilu6xle5f7uk5iifuewkqy3e3o75gevjgp33y/metadata.json
IPFS of structure file: 
bafybeidp4y6itdt7dqd3xvedq7ok3tvqjdadxs4wmsegj3hwaxtjngf5km/AF-C0K3N4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDe2325F89805bd90396a418dbC9aFE0bDcCdf24a
First NFT owner address (bech32): 
genesis1mc3jt7ycqk7eqwt2gxxmexh7p0wvmuj2ftu3up
Current NFT ID #496033 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496033
Accession (UniProt):
C0K3N4
Name::
Vascular endothelial growth factor A
Experimental Method:
Predicted structure
Sequence source:
AGKISTRODON PISCIVORUS PISCIVORUS

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 C0K3N4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0K3N4|VEGFA_AGKPI Vascular endothelial growth factor A OS=Agkistrodon piscivorus piscivorus OX=8716 PE=2 SV=1 MNFLLTWIHWGLAALLYFHNAKVLQAAPAHGDGDRQQSEVIPFMTVYERSVCRPIETMVDIFQEYPDEVEYILKPPCVALMRCGGCCNDEALECVPTELYNVTMEIMKLKPYQSQHIHPMSFQQHSKCECRPKKETRIIQENHCEPCSERRKHLYKQDPLTCKCSCKFTDSRCKSKQLELNERTCRCEKPRR