P9WG83 AF NFT

Putative dioxygenase Rv0097

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxac6fx72xw26g2g22gomvhvhet2ftz2ul3z3bjch5g7ubyvp73i/metadata.json
IPFS of structure file: 
bafybeifz75bxqn5gnai2irxhnnjfkp6ubtsuduzkpbmrp6ozpyi227n26q/AF-P9WG83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb21ec8561536D7DEd13EC0Ed01b162cd7EB5dE01
First NFT owner address (bech32): 
genesis1kg0vs4s4xmtaa5f7crksrvtze4ltthsp2zk3ct
Current NFT ID #503547 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503547
Accession (UniProt):
P9WG83
Name::
Putative dioxygenase Rv0097
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 P9WG83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WG83|Y097_MYCTU Putative dioxygenase Rv0097 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0097 PE=1 SV=1 MTLKVKGEGLGAQVTGVDPKNLDDITTDEIRDIVYTNKLVVLKDVHPSPREFIKLGRIIGQIVPYYEPMYHHEDHPEIFVSSTEEGQGVPKTGAFWHIDYMFMPEPFAFSMVLPLAVPGHDRGTYFIDLARVWQSLPAAKRDPARGTVSTHDPRRHIKIRPSDVYRPIGEVWDEINRTTPPIKWPTVIRHPKTGQEILYICATGTTKIEDKDGNPVDPEVLQELMAATGQLDPEYQSPFIHTQHYQVGDIILWDNRVLMHRAKHGSAAGTLTTYRLTMLDGLKTPGYAA