Q5WTG8 Probable cytosol aminopeptidase MolNFT, Molecular NFT on GenesisL1

Probable cytosol aminopeptidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifvfsdfbmykqkdgtrdjnvbv7qs4q5o7sadjkvt52qo4kbqzj2ibka/metadata.json

IPFS of structure file:

bafybeibuh7wen6zrnnt3jtqu435jagf5ffzayjmnrrv34gsyippfjvxdyu/AF-Q5WTG8-F1-model_v2.pdb

First NFT owner address (eip-55):

0xF3fCF73A57fF07812365d50F6f04BD3B60f3c2f2

First NFT owner address (bech32):

genesis17070wwjhlurczgm9658k7p9a8ds08shjalwpcd

Current NFT ID #15189 owner (web3):

0x17d7D5c62B731f42eBE008979dc6A3E4bdb514C5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
15189
Accession (UniProt):
Q5WTG8
Name::
Probable cytosol aminopeptidase
Experimental Method:
Predicted structure
Sequence source:
LEGIONELLA PNEUMOPHILA (STRAIN LENS)

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 Q5WTG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5WTG8|AMPA_LEGPL Probable cytosol aminopeptidase OS=Legionella pneumophila (strain Lens) OX=297245 GN=pepA PE=3 SV=1 MNYGLTHTPSLNMSECLVLGVFSDLALPDFATAIDNEQQGLIKKLCQRVPEPGNTVWQTDVEGHSLLIIQCGKKEGFSANSLQKRVGEITEALIKQRFSSATVCLPRLNQESSEWQLEQMIVQIDNLRYQLLDFKTKHAKSHKLESVIFHLPGATEKSLEMAKAIVSGVEFCRDLANMPANICTPTYLGEQAISLSKQFDQISCQVMGPEEIKEMGMGALLAVAQGSDQPPRLIDIHYHGNKNSAPVILVGKGITFDSGGLSIKPANAMDEMKYDMSGAASVLGVIKACALLKLPINLIGIIASAENLISGSAVKSGDIVTTMSGQTVEIINTDAEGRLVLADALTYAERYNPDFVIDIATLTGAIIVALGNIATGYMTRDEQLAKSIERAANESQDKVWRMPLDEAYQDALESPLADMINAGFDRSAGSITAACFLSRFTEKYRWAHLDIAGTAWISGKKRNATGRPVPLLIQLLRHVANSR

Q5WTG8 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q5WTG8 research and analysis (ICN3D with VR)

FASTA sequences

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