Q5R837 AF NFT

Regucalcin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcjj2twhrjggze4y3cbsexnjvoiieqpye6cey7644g32u4c5yp4e/metadata.json
IPFS of structure file: 
bafybeiawq6tubzmmmygyulzzkrgzryej7zdwxhvbk42difdleyveas6clm/AF-Q5R837-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #341625 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
341625
Accession (UniProt):
Q5R837
Name::
Regucalcin
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R837 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R837|RGN_PONAB Regucalcin OS=Pongo abelii OX=9601 GN=RGN PE=2 SV=1 MSSIKIECVLPENCQCGESPVWEEASNSLLFVDIPAKKVCRWDSLTKQVQRVTVDAPVSSVALHRSGDYVATIGTKFCALNWKEQSAVVLATVDNDKKNNRFNDGKVDPAGRYFAGTMAEETAPAVLERHQGALYSLFPDHHVKKYFDQVDISNGLDWSLDHKIFYYIDSLSYSVDAFDYDLQTGQISNRRSVYKLEKEEQIPDGMCIDAEGKLWVACYNGGRVIRLDPVTGKRLHTVKLPVDKTTSCCFGGKNYSEMYVTCARDGMDPEGLLRQPEAGGIFKITGLGVKGIAPYSYAG