P02725 AF NFT

Glycophorin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidlo5psdihenv4ztruzly4eyfurg7kgv3pmokvr4oqufj2dypul2y/metadata.json
IPFS of structure file: 
bafybeicjkmyrabcvroitbot4kf5run6gghp7pob4bnhx4b77lwbbmnexfe/AF-P02725-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA282412EdfcE4C50dd88EF2f60821010627e7F46
First NFT owner address (bech32): 
genesis152pyztkleex9phvgauhkpqsszp38ul6x7ht2cy
Current NFT ID #151746 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
151746
Accession (UniProt):
P02725
Name::
Glycophorin-A
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 P02725 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02725|GLPA_PIG Glycophorin-A OS=Sus scrofa OX=9823 GN=GYPA PE=1 SV=1 TETPVTGEQGSATPGNVSNATVTAGKPSATSPGVMTIKNTTAVVQKETGVPESYHQDFSHAEITGIIFAVMAGLLLIIFLIAYLIRRMIKKPLPVPKPQDSPDIGTENTADPSELQDTEDPPLTSVEIETPAS