A1KUI0 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7ct3u44alg34fmqtvnwkdn42wki6frp46wniz57agm7vr7mcgoy/metadata.json
IPFS of structure file: 
bafybeigab2aw74y2nvzwmuksnlnum22vqt5uhjgfkfhsq3v7vchnl2l63a/AF-A1KUI0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xea9f5858064346e9f9d471d9b68B63FAeCE0379C
First NFT owner address (bech32): 
genesis1a204skqxgdrwn7w5w8vmdzmrltkwqduuttcmx0
Current NFT ID #142091 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
142091
Accession (UniProt):
A1KUI0
Name::
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B
Experimental Method:
Predicted structure
Sequence source:
NEISSERIA MENINGITIDIS SEROGROUP C / SEROTYPE 2A (STRAIN ATCC 700532 / DSM 15464 / FAM18)

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 A1KUI0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1KUI0|GATB_NEIMF Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B OS=Neisseria meningitidis serogroup C / serotype 2a (strain ATCC 700532 / DSM 15464 / FAM18) OX=272831 GN=gatB PE=3 SV=1 MTWETVIGLEIHVQLNTKSKIFSGASTAFGAEPNAHASVVECALPGVLPVMNREVVEKAIKLGLALDAKINRKNVFDRKNYFYPDLPKGYQISQLDLPIVEHGKLEIVVGDDVKTINVTRAHMEEDAGKSVHEGLNGATGIDLNRAGTPLLEVVSEPELRSAAEAVAYAKALHSLVTWLDICDGNMAEGSFRVDANVSVRPKGQAEFGTRREIKNLNSFRFLEQAINYEAEAQIEILEDGSKVQQATMLFDPEKGETRVMRLKEDAQDYRYFPDPDLLPVIISDAQMQKAKAEMPELPKEMAARFVADYGVSEYDARLLTASRAQAAYFEEAAKASGQGKPTANWMNGELAAALNKAGLELADSPITAPRLAALVGKIADGTLSSKLAKKAFEAMWAEPESTIAEIIEKHGLQQMTDTGAVEAMVDEVLANNAKAVEQFKSGNEKALNAIVGQVMKASKGKANPAQVQELIKAKLA