P9WKR3 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized protein Rv0877

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibl4xthhm3m6m4ycx57e6dldeh4cxmyqreg7hsma6yfjnatfvghti/metadata.json

IPFS of structure file:

bafybeigg2vr26ubxmwrtermymw42m62h3yine5gpcrpj7vpqt5cm5tqmhu/AF-P9WKR3-F1-model_v2.pdb

First NFT owner address (eip-55):

0xF8cD1d8d93E9783063700De244A6e3cf6A195579

First NFT owner address (bech32):

genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh

Current NFT ID #522458 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
522458
Accession (UniProt):
P9WKR3
Name::
Uncharacterized protein Rv0877
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 P9WKR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKR3|Y877_MYCTU Uncharacterized protein Rv0877 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0877 PE=1 SV=1 MTGPTEESAVATVADWPEGLAAVLRGAADQARAAVVEFSGPEAVGDYLGVSYEDGNAATHRFIAHLPGYQGWQWAVVVASYSGADHATISEVVLVPGPTALLAPDWVPWEQRVRPGDLSPGDLLAPAKDDPRLVPGYTASGDAQVDETAAEIGLGRRWVMSAWGRAQSAQRWHDGDYGPGSAMARSTKRVCRDCGFFLPLAGSLGAMFGVCGNELSADGHVVDRQYGCGAHSDTTAPAGGSTPIYEPYDDGVLDIIEKPAES