O73682 AF NFT

Vascular endothelial growth factor A-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvob4i44ecnj2nidp37kpgw2kknosyz32hazggyj27dc3qlc2dsi/metadata.json
IPFS of structure file: 
bafybeidaw7jgbcl3pwsvn4qunc2o7z3qs6ehhph45wrszq5eqhdx2bbo3m/AF-O73682-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6E138F720841B81f7c5e242C5f6b118D77314805
First NFT owner address (bech32): 
genesis1dcfc7usggxup7lz7ysk976c334mnzjq92tmqca
Current NFT ID #496209 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496209
Accession (UniProt):
O73682
Name::
Vascular endothelial growth factor A-A
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 O73682 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O73682|VGFAA_DANRE Vascular endothelial growth factor A-A OS=Danio rerio OX=7955 GN=vegfaa PE=1 SV=1 MNLVVYLIQLFLAALLHLSAVKAAHIPKEGGKSKNDVIPFMDVYKKSACKTRELLVDIIQEYPDEIEHTYIPSCVVLMRCAGCCNDEALECVPTETRNVTMEVLRVKQRVSQHNFQLSFTEHTKCECRPKAEVKAKKENHCEPCSERRKRLYVQDPLTCKCSCKFTQMQCKSRQLELNERTCRCEKPR