P9WI32 AF NFT

Uncharacterized PPE family protein PPE14

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigrt6slda2lz6t52kcdprjjbohnasfqyjkd3mg4zcv7lnhisjsjri/metadata.json
IPFS of structure file: 
bafybeie3tmjshsszo6v5wzwnspsqcpapbpvn53vutynsjh3jcu4xzpnb7y/AF-P9WI32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCcE0f7d4E847A12eE8F3c53aeE79dC9c9B1cB849
First NFT owner address (bech32): 
genesis1ens0048gg7sja68nc5awu7wunjd3ewzf4avyrn
Current NFT ID #306529 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
306529
Accession (UniProt):
P9WI32
Name::
Uncharacterized PPE family protein PPE14
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 P9WI32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI32|PPE14_MYCTO Uncharacterized PPE family protein PPE14 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=PPE14 PE=3 SV=1 MDFGLLPPEVNSSRMYSGPGPESMLAAAAAWDGVAAELTSAAVSYGSVVSTLIVEPWMGPAAAAMAAAATPYVGWLAATAALAKETATQARAAAEAFGTAFAMTVPPSLVAANRSRLMSLVAANILGQNSAAIAATQAEYAEMWAQDAAVMYSYEGASAAASALPPFTPPVQGTGPAGPAAAAAATQAAGAGAVADAQATLAQLPPGILSDILSALAANADPLTSGLLGIASTLNPQVGSAQPIVIPTPIGELDVIALYIASIATGSIALAITNTARPWHIGLYGNAGGLGPTQGHPLSSATDEPEPHWGPFGGAAPVSAGVGHAALVGALSVPHSWTTAAPEIQLAVQATPTFSSSAGADPTALNGMPAGLLSGMALASLAARGTTGGGGTRSGTSTDGQEDGRKPPVVVIREQPPPGNPPR