P9WLM3 AF NFT

Uncharacterized protein Rv2012

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidwdthbruxcfkrtuzvk6ok6dcjzw6mjdiwvx4np6zoyunsm7y4ide/metadata.json
IPFS of structure file: 
bafybeigtuj2x3xlcqiuhf5z3uq6o2fh7zp4kbugn2aci6zfgezcpc3h7ay/AF-P9WLM3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0eE054AC843F2F5F024A81f2c7026947A09008Ac
First NFT owner address (bech32): 
genesis1pms9ftyy8uh47qj2s8evwqnfg7sfqz9vwzepf4
Current NFT ID #510480 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510480
Accession (UniProt):
P9WLM3
Name::
Uncharacterized protein Rv2012
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 P9WLM3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLM3|Y2012_MYCTU Uncharacterized protein Rv2012 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2012 PE=4 SV=1 MLSKSKRSCRRRETLRIGEKMSAPITNLQAAQRDAIMNRPAVNGFPHLAETLRRAGVRTNTWWLPAMQSLYETDYGPVLDQGVPLIDGVAEVPAFDRTALVTALRADQAGQTSFREFAAAAWRAGVLRYVVDLENRTCTYFGLHDQTYMEHYAAVEPSGGAPTS