A5G1G2 Chaperonin GroEL MolNFT, Molecular NFT on GenesisL1

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidebl57on3x6nr6uhvcnvjol5hwaenvm6l3m5po7in3aswybr5rcq/metadata.json

IPFS of structure file:

bafybeigndqxqxdnsddpco5osptgcj76qti3f37e4qraksr32mxic4ecpmm/AF-A5G1G2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x567c68955ce1Aa63461C127c6dDE626eDDdf8B9b

First NFT owner address (bech32):

genesis12e7x392uux4xx3suzf7xmhnzdmwalzumtvva3c

Current NFT ID #60311 owner (web3):

0xA528629DC5BcCeBDa9059C9f45aab2F210565E6f

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
60311
Accession (UniProt):
A5G1G2
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Acidiphilium cryptum (strain JF-5)

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 A5G1G2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5G1G2|CH60_ACICJ Chaperonin GroEL OS=Acidiphilium cryptum (strain JF-5) OX=349163 GN=groEL PE=3 SV=1 MAAKDVRFSADARERLIRGVDLLANAVKVTLGPKGRNVVIEKSFGSPRITKDGVTVAKEIELADKFENMGAQMVREVASKTNDLAGDGTTTATVLAQAIVREGAKAVAAGMNPMDLKRGIDKAVNAIVDELKKRTKKITTPSETAQVGTISANGEAEIGKMISEAMQKVGNEGVITVEEAKGIQTELDVVEGMQFDRGYVSPYFITNPEKMVADLDNPYILIHEKKLSGLQPMLPLLESIVQSGKPLLIIAEDVEGEALATLVVNKLRGGLKIAAVKAPGFGDRRKAMLEDIAILTGGQVISEDLGIKLETVTLNMLGRAKKVLIEKENTTIVEGAGKKADITGRCNQIRAQIEETTSDYDREKLQERLAKLAGGVAVIRVGGASETEVKERKDRVDDALHATRAAVEEGIVPGGGVALARASLAINKLKADNDDQRFGIDIIRKAVLAPMRQIAENAGEDGAVISGKVLDNDDYSFGFDAQSGEFKDMVKAGIIDPTKVVRTALQDAASVAGLLITTEAMVAERPEKKAPAGGDAGMGGMGGMGGMDF

A5G1G2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A5G1G2 research and analysis (ICN3D with VR)

FASTA sequences

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