Q17VC6 AF NFT

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6fa5fasjupmtgn4eg6uidr54qzvuzfim7qkpj4geitkv45rnn2u/metadata.json
IPFS of structure file: 
bafybeib2qnslra5xqjvdzemooc3cthlldpwzjnf42rldkwhcxsmdlrwp6u/AF-Q17VC6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA8DDaf0A92150868e1cE25DA40f486Cd026B4089
First NFT owner address (bech32): 
genesis14rw67z5jz5yx3cwwyhdypayxe5pxksyferxh7a
Current NFT ID #60630 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60630
Accession (UniProt):
Q17VC6
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17VC6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17VC6|CH60_HELAH Chaperonin GroEL OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=groEL PE=3 SV=1 MAKEIKFSDSARNLLFEGVRQLHDAVKVTMGPKGRNVLIQKSYGAPSITKDGVSVAKEIELSCPVANMGAQLVKEVASKTADAAGDGTTTATVLAYSIFKEGLRNITAGANPIEVKRGMDKAAEAIINELKKSSKKVGGKEEITQVATISANSDHNIGKLIADAMEKVGKDGVITVEEAKGIEDELDVVEGMQFDRGYLSPYFVTNAEKMTAQLDNAYILLTDKKISSMKDILPLLEKTMKEGKPLLIIAEDIEGEALTTLVVNKLRGVLNIAAVKAPGFGDRRKEMLKDIAVLTGGQVISEELGLTLENAEVEFLGKAGRIVIDKDNTTIVDGKGHSHDVKDRVAQIKTQIASTTSDYDKEKLQERLAKLSGGVAVIKVGAASEVEMKEKKDRVDDALSATKAAVEEGIVIGGGAALIRAAQKVHLHLNGDEKVGYEIIMRAIKAPLAQIAINAGYDGGVVVNEVQKHEGHFGFNASNGEYVDMFKEGIIDPLKVERIALQNAVSVSSLLLTTEATVHEIKEEKATPAMPDMGGMGGMGGMGGMM