Q6PBY3 AF NFT

Endothelial differentiation-related factor 1 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihyasbk5dtrcgdffaxau5y5drxk3buwjixsbddgzjvkcfbpnioamy/metadata.json
IPFS of structure file: 
bafybeidyuarwynh2bhyddsssfvjia54sh73bzxsqpck6vsyvwf7rkpxpja/AF-Q6PBY3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFda0282803B73212Cec03af81417C0da4EFCa5E1
First NFT owner address (bech32): 
genesis1lkszs2qrkuep9nkq8tupg97qmf80ef0pux85d0
Current NFT ID #110322 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
110322
Accession (UniProt):
Q6PBY3
Name::
Endothelial differentiation-related factor 1 homolog
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 Q6PBY3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PBY3|EDF1_DANRE Endothelial differentiation-related factor 1 homolog OS=Danio rerio OX=7955 GN=edf1 PE=2 SV=1 MAECDWDTVTVLRKKGSAAQSKSKQAVTAAQRKGEAVETSKKWAAGQNKQHVVTKNTAKLDRETEELSHQRVPLEVGKVIQQGRQNKGLTQKDLATKINEKPQIIAEYECGKAIPNNQVMGKIERAIGLKLRGKDIGLPLEACSKK