P9WL73 AF NFT

Uncharacterized protein Rv2597

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigeqqbudkvmfsuvkktefayvvuyewnmra762a3f35t6umq3iiawigq/metadata.json
IPFS of structure file: 
bafybeichy4heqgv7bsyntytvwwwaneg4frqvt2bxsavxqtav6nrxlqzzhu/AF-P9WL73-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe1a85DF48870124Ac6330A08Fe9b4CEfa75DA51F
First NFT owner address (bech32): 
genesis1ux59maygwqfy433npgy0ax6va7n4mfgl8lvjcd
Current NFT ID #512987 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
512987
Accession (UniProt):
P9WL73
Name::
Uncharacterized protein Rv2597
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 P9WL73 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WL73|Y2597_MYCTU Uncharacterized protein Rv2597 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2597 PE=1 SV=1 MGNLLVVIAVALFIAAIVVLVVAIRRPKTPATPGGRRDPLAFDAMPQFGPRQLGPGAIVSHGGIDYVVRGSVTFREGPFVWWEHLLEGGDTPTWLSVQEDDGRLELAMWVKRTDLGLQPGGQHVIDGVTFQETERGHAGYTTEGTTGLPAGGEMDYVDCASAGQGADESMLLSFERWAPDMGWEIATGKSVLAGELTVYPAPPVSA