P9WI17 AF NFT

Uncharacterized PPE family protein PPE23

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickqznbxcqhzdkgxgvkarrp5ogkdgqq4lrsybou3yzn5dtfbl2gp4/metadata.json
IPFS of structure file: 
bafybeih64kwpz4yaaqlwvd4pdcol7eqpi4r2ah2wq4mjtje4br35y5xcei/AF-P9WI17-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA4D9B5300039B74C1Cd502B506a822364e6BC90A
First NFT owner address (bech32): 
genesis15nvm2vqq8xm5c8x4q26sd2pzxe8xhjg2atr5x9
Current NFT ID #306551 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
306551
Accession (UniProt):
P9WI17
Name::
Uncharacterized PPE family protein PPE23
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WI17 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI17|PPE23_MYCTU Uncharacterized PPE family protein PPE23 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=PPE23 PE=3 SV=1 MTLDVPVNQGHVPPGSVACCLVGVTAVADGIAGHSLSNFGALPPEINSGRMYSGPGSGPLMAAAAAWDGLAAELSSAATGYGAAISELTNMRWWSGPASDSMVAAVLPFVGWLSTTATLAEQAAMQARAAAAAFEAAFAMTVPPPAIAANRTLLMTLVDTNWFGQNTPAIATTESQYAEMWAQDAAAMYGYASAAAPATVLTPFAPPPQTTNATGLVGHATAVAALRGQHSWAAAIPWSDIQKYWMMFLGALATAEGFIYDSGGLTLNALQFVGGMLWSTALAEAGAAEAAAGAGGAAGWSAWSQLGAGPVAASATLAAKIGPMSVPPGWSAPPATPQAQTVARSIPGIRSAAEAAETSVLLRGAPTPGRSRAAHMGRRYGRRLTVMADRPNVG