Q7M7Y2 AF NFT

Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcc5fqdizpbc6h3aao2vjoyrnonnngov4kwy5w2avgwnc7tw4pni/metadata.json
IPFS of structure file: 
bafybeietbtsanj3uj6k3lwdurpsnz7h4xo3ou42twbow7jlcht2t7yegkq/AF-Q7M7Y2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #142334 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
142334
Accession (UniProt):
Q7M7Y2
Name::
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B
Experimental Method:
Predicted structure
Sequence source:
WOLINELLA SUCCINOGENES (STRAIN ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W)

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 Q7M7Y2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7M7Y2|GATB_WOLSU Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B OS=Wolinella succinogenes (strain ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W) OX=273121 GN=gatB PE=3 SV=1 MFETVIGLEVHVQLNTKTKIFCSCATSFGEEPNKNVCPVCLGLPGALPVLNGEAVKKAVSFAKAVNAKVNQNSIFARKNYFYPDLPKAYQISQFEIPIVGKGWLDIEVDGEKRRIGITRAHLEEDAGKNIHEGEISKVDLNRACTPLLEIVSEPDMRNSDEAIAYLKKLHSIVRYLEISDANMQEGSFRCDANVSIRPKGDEKLYTRVEIKNLNSFRFIQKAIEYEVERQIEAWQEGVYAKEVVQETRLFDTDKGVTRSMRGKEESADYRYFPDPDLLPVFIDATLMEEAEKIPELPDEKRARLVRDFGLKEYDAGVIVADLEMARFFETMLSEGASAKGAVTWLTVELLGRLKGESGVQNSPVDAKRLACLVKRIEDETISGKSAKEVLDVLVAEGGEVDAIIERLGLKQVSDDGAILSVIDEVLAQNGDKVAEYKSGKDKLFGFFVGQVMKSAKGVNPAKVNDLLKSRLG