Q78HU7 AF NFT

Glycophorin-C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxxxxlyqi7xerqzhqnbnokg3yeagak4utwbdxv2gkkaenor5jx3m/metadata.json
IPFS of structure file: 
bafybeido57xoldbpmv4nbhl4w2egj7ievdr3cgzgjrsaap4jahofw55kse/AF-Q78HU7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAF1f6377a0B1Dd116Ba7B2243519F067d46ef767
First NFT owner address (bech32): 
genesis14u0kxaaqk8w3z6a8kgjr2x0svl2xaam88rhfxq
Current NFT ID #151831 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
151831
Accession (UniProt):
Q78HU7
Name::
Glycophorin-C
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q78HU7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q78HU7|GLPC_MOUSE Glycophorin-C OS=Mus musculus OX=10090 GN=Gypc PE=1 SV=2 MSSPVSKPPPELLEPNPGKSYGIMEIAIIAAVITAVALVLVCLLFLMLRYLYRHKGTYHTNEAKGTEFAESADAALQSDPALQDAGDTSKKEYFI