A6T7Z4 AF NFT

Exoribonuclease 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigphlxrmcn6slm5mizebltdawtiw6l3a6472psrrwg6yjneavcywe/metadata.json
IPFS of structure file: 
bafybeibp7aq7nmtmwntloibkqq3xyfbvuu3p5tpwn2vjhmr4qks35whp7m/AF-A6T7Z4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAEae9b5D04d925D8e1Dd5e98c074a10e9928c4BE
First NFT owner address (bech32): 
genesis146hfkhgymyja3cwat6vvqa9pp6vj339772302q
Current NFT ID #380092 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
380092
Accession (UniProt):
A6T7Z4
Name::
Exoribonuclease 2
Experimental Method:
Predicted structure
Sequence source:
KLEBSIELLA PNEUMONIAE SUBSP. PNEUMONIAE (STRAIN ATCC 700721 / MGH 78578)

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 A6T7Z4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6T7Z4|RNB_KLEP7 Exoribonuclease 2 OS=Klebsiella pneumoniae subsp. pneumoniae (strain ATCC 700721 / MGH 78578) OX=272620 GN=rnb PE=3 SV=1 MFQDNPLLAQLKQQLHSQTPRAEGVVKGTEKGFGFLEVDAQKSYFIPPPQMKKVMHGDRIVAVIHSEKERESAEPESLVEPFLTRFVGKVQKKDDRLAIVPDHPLLKDAIPCRAARGVEHDFKQGDWAVAEMRRHPLKGDRGFYAELTQFITFSDDHFVPWWVTLARHNLEKEAPDGVATEMLDEGLTRRDLTALDFVTIDSASTEDMDDALYAESTADGKLLLTVAIADPTAWIAEGSKLDNAAKVRAFTNYLPGFNIPMLPRELSDDLCSLRANEVRPVLACRMTLAADGTIEDNIEFFAATIESKAKLAYDDVSDWLEGRGSWQPDSEAIAQQITLLKDVCQRRSEWRQTHALVFKDRPDYRFVLGEKGEVLDIVAEPRRIANRIVEESMIAANICAARVLRDKLGFGVYNVHTGFDPANTEQLAALLKTHDVHVDPTEVLTLEGFCKLRRELDAQPTGFLDSRIRRFQSFAEISTEPGPHFGLGLEAYATWTSPIRKYGDMINHRLLKAIIKGETIARPQDEATVQMAERRRLNRMAERDVADWLYARFLNDKAGTDTRFAAEIIDVSRGGMRVRLVDNGAVAFIPAPFLHAVRDELVCSQENGTVQIKGEVVYKVTDVIDVTIAEVRMETRSIIARPAV