P9WHX4 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized PPE family protein PPE63

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicztivcgture2tnaaioue7yc44d4d7uit74shfrt3pvevw5gqrgcq/metadata.json

IPFS of structure file:

bafybeib3oumaf5pmjntb2l6mlaexicjkgjquk7me5j6mahk2jdf753an7m/AF-P9WHX4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xaa881a9f97666A01Da48Ea02eAe65Ad17eb8B4F6

First NFT owner address (bech32):

genesis142yp48uhve4qrkjgagpw4ej669lt3d8k367lcq

Current NFT ID #306605 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
306605
Accession (UniProt):
P9WHX4
Name::
Uncharacterized PPE family protein PPE63
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 P9WHX4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WHX4|PPE63_MYCTO Uncharacterized PPE family protein PPE63 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=PPE63 PE=3 SV=1 MADFLTLSPEVNSARMYAGGGPGSLSAAAAAWDELAAELWLAAASFESVCSGLADRWWQGPSSRMMAAQAARHTGWLAAAATQAEGAASQAQTMALAYEAAFAATVHPALVAANRALVAWLAGSNVFGQNTPAIAAAEAIYEQMWAQDVVAMLNYHAVASAVGARLRPWQQLLHELPRRLGGEHSDSTNTELANPSSTTTRITVPGASPVHAATLLPFIGRLLAARYAELNTAIGTNWFPGTTPEVVSYPATIGVLSGSLGAVDANQSIAIGQQMLHNEILAATASGQPVTVAGLSMGSMVIDRELAYLAIDPNAPPSSALTFVELAGPERGLAQTYLPVGTTIPIAGYTVGNAPESQYNTSVVYSQYDIWADPPDRPWNLLAGANALMGAAYFHDLTAYAAPQQGIEIAAVTSSLGGTTTTYMIPSPTLPLLLPLKQIGVPDWIVGGLNNVLKPLVDAGYSQYAPTAGPYFSHGNLVW