Q0P9C9 AF NFT | MOLNFT bioinformatics, blockchain

N,N'-diacetylbacillosaminyl-diphospho-undecaprenol alpha-1,3-N-acetylgalactosaminyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicumy6u64glt665wi4ocb5s4n4ixhfpb65uoodklkwk7ez3ijpcvq/metadata.json

IPFS of structure file:

bafybeiauvtrf4tgyroavqz64f4sse57vqzwr23shmr2qi5tirfrvdsrncy/AF-Q0P9C9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x3BD960301fFCd02d42e55a21D409c3bD1BA31b78

First NFT owner address (bech32):

genesis180vkqvqllngz6sh9tgsagzwrh5d6xxmcvnt44x

Current NFT ID #296950 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
296950
Accession (UniProt):
Q0P9C9
Name::
N,N'-diacetylbacillosaminyl-diphospho-undecaprenol alpha-1,3-N-acetylgalactosaminyltransferase
Experimental Method:
Predicted structure
Sequence source:
CAMPYLOBACTER JEJUNI SUBSP. JEJUNI SEROTYPE O:2 (STRAIN ATCC 700819 / NCTC 11168)

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 Q0P9C9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0P9C9|PGLA_CAMJE N,N'-diacetylbacillosaminyl-diphospho-undecaprenol alpha-1,3-N-acetylgalactosaminyltransferase OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=pglA PE=1 SV=1 MRIGFLSHAGASIYHFRMPIIKALKDRKDEVFVIVPQDEYTQKLRDLGLKVIVYEFSRASLNPFVVLKNFFYLAKVLKNLNLDFIQSAAHKSNTFGILAAKWAKIPYRFALVEGLGSFYIDQGFKANLVRFVINSLYKLSFKFAHQFIFVNESNAEFMRNLGLKENKICVIKSVGINLKKFFPIYVESEKKELFWKNLNIDKKPIVLMIARALWHKGVKEFYESATMLKDKANFVLVGGRDENPSCASLEFLNSGAVHYLGARSDIVELLQNCDIFVLPSYKEGFPVSVLEAKACGKAIVVSDCEGCVEAISNAYDGLWAKTKNAKDLSEKISLLLEDEKLRLNLAKNAAQDALQYDENIIAQRYLKLYDRVIKNV