P02724 AF NFT

Glycophorin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihasivbuq3kq7vpwnus3iqba76tn32lhryqwmx5n5nanb6jf6nwpa/metadata.json
IPFS of structure file: 
bafybeibbdo3ebt2d63bju5jncsq7tnswyiwavcotv5knix46sfbfy5hkpe/AF-P02724-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5492cc2E5b54a527993f1488393d18A7360900f2
First NFT owner address (bech32): 
genesis12jfvctjm2jjj0xflzjyrj0gc5umqjq8jmd4qgj
Current NFT ID #151742 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
151742
Accession (UniProt):
P02724
Name::
Glycophorin-A
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 P02724 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02724|GLPA_HUMAN Glycophorin-A OS=Homo sapiens OX=9606 GN=GYPA PE=1 SV=2 MYGKIIFVLLLSEIVSISASSTTGVAMHTSTSSSVTKSYISSQTNDTHKRDTYAATPRAHEVSEISVRTVYPPEEETGERVQLAHHFSEPEITLIIFGVMAGVIGTILLISYGIRRLIKKSPSDVKPLPSPDTDVPLSSVEIENPETSDQ