P9WLW3 AF NFT

Uncharacterized protein Rv1509

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieoeg3w326wk2leduedkdwzxyso6k4lfrgghfu6ytd4eymcys4kce/metadata.json
IPFS of structure file: 
bafybeihcvg27lmiafv652g2i3nbhws2d5sx6nbasljz2u7kz7hgenmqgga/AF-P9WLW3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDc9c9Af88E0b0A5Ec61DD36Ae0Ecd840271f80cF
First NFT owner address (bech32): 
genesis1mjwf47ywpv99a3sa6d4wpmxcgqn3lqx0f0zrj0
Current NFT ID #507458 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
507458
Accession (UniProt):
P9WLW3
Name::
Uncharacterized protein Rv1509
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 P9WLW3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLW3|Y1509_MYCTU Uncharacterized protein Rv1509 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv1509 PE=4 SV=1 MFALSNNLNRVNACMDGFLARIRSHVDAHAPELRSLFDTMAAEARFARDWLSEDLARLPVGAALLEVGGGVLLLSCQLAAEGFDITAIEPTGEGFGKFRQLGDIVLELAAARPTIAPCKAEDFISEKRFDFAFSLNVMEHIDLPDEAVRRVSEVLKPGASYHFLCPNYVFPYEPHFNIPTFFTKELTCRVMRHRIEGNTGMDDPKGVWRSLNWITVPKVKRFAAKDATLTLRFHRAMLVWMLERALTDKEFAGRRAQWMVAAIRSAVKLRVHHLAGYVPATLQPIMDVRLTKR