Q8ES77 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgk7ox4ekmepqp4jgcksa5uupwbn35qi5ofkow4q44jahdfu75y4/metadata.json
IPFS of structure file: 
bafybeifqxecp2u5hm3sycv73h642dn5lbshb67vak5c7xvyazvi5b4kgci/AF-Q8ES77-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5A0D635542A761478aA3795A1Ad351A25E429808
First NFT owner address (bech32): 
genesis1tgxkx42z5as50z4r09dp45635f0y9xqg5twh69
Current NFT ID #142106 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
142106
Accession (UniProt):
Q8ES77
Name::
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B
Experimental Method:
Predicted structure
Sequence source:
OCEANOBACILLUS IHEYENSIS (STRAIN DSM 14371 / CIP 107618 / JCM 11309 / KCTC 3954 / HTE831)

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 Q8ES77 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8ES77|GATB_OCEIH Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B OS=Oceanobacillus iheyensis (strain DSM 14371 / CIP 107618 / JCM 11309 / KCTC 3954 / HTE831) OX=221109 GN=gatB PE=3 SV=1 MNFETIIGLEVHVELKTNSKIFSPSTNEFGSDPNTNVNPIDLGYPGTLPVLNEEAVNFAMKAAMALNCEIATDTKFDRKNYFYPDNPKAYQISQFDQPIGENGWIEIEVNGEKKKIGITRLHLEEDAGKLTHGEDGYSYVDFNRQGTPLIEIVSEPDMRSPEEAYAYLEKLKNIIQYTGVSDVKMQEGSLRCDANISLRPIGQEEFGTKAELKNLNSFSYVQKGLEFEEKRQEKELLSGGEILQETRRYDEKTKETILMRVKEGSDDYRYFPEPDLVPLYIDEEWKERVRSEIPELPDARLERYINELGLSEYDANVLTASKQMSDFFEEATAEGADMKQVSNWLMGEVSAYMNKHYKELDELAITPEALAKMINLIEDGTISSKIAKKVFAELVENGGDPQKIVEEKGLVQISDPAQLKQIVNEVLDQNEQSIIDFKNGKNKAKGFLVGQIMKATKGQANPPLVNKILAEELNNR