P26004 AF NFT | MOLNFT bioinformatics, blockchain

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibloexv2ddlacm3oxumusgyval3ca4z7c5y5lit6owp5hynfjhyiq/metadata.json

IPFS of structure file:

bafybeihxqoels5wxtk423qnz3jgnaefjau2ddpobtllaluk5ltpemxv35e/AF-P26004-F1-model_v2.pdb

First NFT owner address (eip-55):

0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480

First NFT owner address (bech32):

genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg

Current NFT ID #60676 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60676
Accession (UniProt):
P26004
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Legionella jeonii

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 P26004 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P26004|CH60_LEGJE Chaperonin GroEL OS=Legionella jeonii OX=2728 GN=groEL PE=3 SV=1 MAKELRFGDDARQQMLAGVNALADRVKATMGPSGRNVVLERSFGAPTVTKDGVSVAKEIEFENRFKNMGAQMVKEVAAKTSDTAGDGTTTATVLARSIVVEGHKAVAAGMNPMDLKRGIDKAVTAITKELQKMSKPCKDGKAIAQVGTISANSDQAIGSIIAEAMEKVGKEGVITVEDGNGLENELSVVEGMQFDRGYISPYFINNQQNMSAELEHPFILLVDKKIATIRDMLSVLEAVAKSGRPLLIVAEDVEGEALATLVVNNMRGIVKVCAVKAPGFGDRRKAMLQDIAILTNGQVISEEIGTSLETASLESLGTAKRIVVTKENTTIIDGEGKATEINARIAQIRAQMEETSSDYDREKLQERVAKLAGGVAVIKVGAATEIEMKEKKARVEDALHATRAAVEEGIVAGGGVALIRAQKVLDGLKGDNADQDMGINILRRAIESPLRQIVANAGYESSVIVNKVAEHKDNFGFNAATGQYGDMVEMGILDPTKVTRTALQNAASVRSLMLTTECMVADLPKKDEGMAGAGDMGGMGGMGGMGGMGMM