P9WI16 AF NFT

Uncharacterized PPE family protein PPE23

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkqwdwj6cynmliyp756mjziacau4s7bjhdawqcwyrdbe7h5uocui/metadata.json
IPFS of structure file: 
bafybeihfzia63mfpaw6rzll7mwx2iobl54fcq35zepghhemwv2oiizyuki/AF-P9WI16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf7D20b3d2f8DB1892d5C3e88dC1a669134D3Ad32
First NFT owner address (bech32): 
genesis17lfqk0f03kccjt2u86ydcxnxjy6d8tfj0mqcxr
Current NFT ID #306550 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
306550
Accession (UniProt):
P9WI16
Name::
Uncharacterized PPE family protein PPE23
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WI16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI16|PPE23_MYCTO Uncharacterized PPE family protein PPE23 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=PPE23 PE=3 SV=1 MTLDVPVNQGHVPPGSVACCLVGVTAVADGIAGHSLSNFGALPPEINSGRMYSGPGSGPLMAAAAAWDGLAAELSSAATGYGAAISELTNMRWWSGPASDSMVAAVLPFVGWLSTTATLAEQAAMQARAAAAAFEAAFAMTVPPPAIAANRTLLMTLVDTNWFGQNTPAIATTESQYAEMWAQDAAAMYGYASAAAPATVLTPFAPPPQTTNATGLVGHATAVAALRGQHSWAAAIPWSDIQKYWMMFLGALATAEGFIYDSGGLTLNALQFVGGMLWSTALAEAGAAEAAAGAGGAAGWSAWSQLGAGPVAASATLAAKIGPMSVPPGWSAPPATPQAQTVARSIPGIRSAAEAAETSVLLRGAPTPGRSRAAHMGRRYGRRLTVMADRPNVG