A9QYQ1 AF NFT

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiep6vuuxahhsuhy7by3tbxjlexxelqg3ymfzbp5qebcisfhsoqfxy/metadata.json
IPFS of structure file: 
bafybeibxfh52omghauhanotnnmcawxydmpsnsfpcuk6uwz74j53poclcem/AF-A9QYQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #61057 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
61057
Accession (UniProt):
A9QYQ1
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QYQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QYQ1|CH60_YERPG Chaperonin GroEL OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=groEL PE=3 SV=1 MAAKDVKFGNDARIKMLRGVNILADAVKVTLGPKGRNVVLDKSFGSPTITKDGVSVAREIELEDKFENMGAQMVKEVASKANDAAGDGTTTATVLAQSIITEGLKAVAAGMNPMDLKRGIDKAVIAAVEELKKLSVPCSDSKAIAQVGTISANSDSTVGELIAQAMEKVGKEGVITVEEGSGLQDELDVVEGMQFDRGYLSPYFINKPETGSIELESPFILLADKKISNIREMLPVLEAVAKAGKPLLIIAEDVEGEALATLVVNTMRGIVKVAAVKAPGFGDRRKAMLQDIATLTAGTVISEEIGLELEKTTLEDLGQAKRVVINKDTTIIIDGVGDEAAIQGRVAQIRQQIEDATSDYDKEKLQERVAKLAGGVAVIKVGAATEVEMKEKKARVEDALHATRAAVEEGVVAGGGVALIRAAHAIAGLKGDNEDQNVGIKVALRAMESPLRQIVVNAGEEASVIANKVKAGEGSFGYNAYTEEYGDMIAMGILDPTKVTRSALQYAASIAGLMITTECMVTDLPRDDKGADMGAGGMGGMGGMGGMM