P26617 AF NFT

Vascular endothelial growth factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieq633zlyvm6octhgthy5ocui5ieed5ud6yiqp6zr5wdb2sedvxpe/metadata.json
IPFS of structure file: 
bafybeibh3taabqg3lerowkdsrdiwanumhbrqt7ut4ew2mztpis5tlk2hou/AF-P26617-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7E22357a79b34AeF42307391159609a5C4360249
First NFT owner address (bech32): 
genesis10c3r27nekd9w7s3swwg3t9sf5hzrvqjfamdtq3
Current NFT ID #496037 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496037
Accession (UniProt):
P26617
Name::
Vascular endothelial growth factor A
Experimental Method:
Predicted structure
Sequence source:
CAVIA PORCELLUS

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 P26617 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P26617|VEGFA_CAVPO Vascular endothelial growth factor A OS=Cavia porcellus OX=10141 GN=VEGFA PE=2 SV=1 APMAEGEQKPREEVKFMDVYKRSYCRPIEMLVDIFQEYPDEIEYIFKPSCVPLMRCGGCCNDESLECVPTEEFNITMQIMRIKPHQGQHIGEMSFLQHSKCECRPKKEKARQENPCGPCSERRKHLFVQDPQTCKCSCRNTDSRCKARQLELNERTCRCDKPRR