P9WM72 AF NFT

Uncharacterized protein MT0096

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidw3oq2izrpwa4lmdqtvmm3fzdawlco5cv3vzhqydyb6dg67cnleu/metadata.json
IPFS of structure file: 
bafybeicywyiuvlhez2ffjo4noljmd5vyurzvlj63n6l3pyggolzu2ir464/AF-P9WM72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #503440 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503440
Accession (UniProt):
P9WM72
Name::
Uncharacterized protein MT0096
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 P9WM72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WM72|Y088_MYCTO Uncharacterized protein MT0096 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0096 PE=4 SV=1 MSVYKHAPSRVRLRQTRSTVVKGRSGSLSWRRVRTGDLGLAVWGGREEYRAVKPGTPGIQPKGDMMTVTVVDAGPGRVSRSVEVAAPAAELFAIVADPRRHRELDGSGTVRGNIKVPAKLVVGSKFSTKMKLFGLPYRITSRVTALKPNELVECSHPLGHRWRWEFESLSPTLTRVTETFDYHAAGAIKNGLKFYEMTGFAKSNAAGIEATLAKLSDQYARGRA