A6WUV8 AF NFT

3-phosphoshikimate 1-carboxyvinyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvxwtn5xff7yv5y36telbj5ewah5vvm7orksvhm2c6y6cdoa4hsi/metadata.json
IPFS of structure file: 
bafybeidgzuoi7labrnk4vgh57g2iaqh4zd4ilkm332zfusoxrzp3v3ho7y/AF-A6WUV8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #24298 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
24298
Accession (UniProt):
A6WUV8
Name::
3-phosphoshikimate 1-carboxyvinyltransferase
Experimental Method:
Predicted structure
Sequence source:
Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37)

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 A6WUV8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6WUV8|AROA_BRUA4 3-phosphoshikimate 1-carboxyvinyltransferase OS=Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37) OX=439375 GN=aroA PE=3 SV=1 MSHSAPPKPATARRSEALTGEIRIPGDKSISHRSFMFGGLASGETRITGLLEGEDVINTGRAMQAMGAKIRKDGDAWIINGVGNGCLLQPEAALDFGNAGTGARLTMGLVGTYDMRTSFIGDASLSKRPMGRVLNPLREMGVQVEAAEGDRMPLTLIGPKTANPITYRVPMASAQVKSAVLLAGLNTPGVTTVIEPVMTRDHTEKMLQGFGADLSVETDKDGVRHIRITGQGKLIGQTIDVPGDPSSTAFPLVAALLVEGSDVTIRNVLMNPTRTGLILTLQEMGADIEVLNARLAGGEDVADLRVKASKLKGVVVPPERAPSMIDEYPVLAIAAAFAEGETVMDGLDELRVKESDRLAAVARGLEANGVDCTEGEMSLTVRGRPDGKGLGGGTVATHLDHRIAMSFLVMGLASEKPVTVDDSTMIATSFPEFMDMMPGLGAKIELSDAR