P9WLV2 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized protein MT1576

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigvdrjuqiph2m6jsxkhmgvvrph7eaaedf2h6rm56ni7y72jubgnna/metadata.json

IPFS of structure file:

bafybeigh4bih4ygi4mjwrdhjr3csckkc7xrr3zvr6wspjxqenok5p33kaq/AF-P9WLV2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xbb2A3fB0b56B9d09445eFeB7C267536EF817dd7D

First NFT owner address (bech32):

genesis1hv4rlv94dwwsj3z7l6muye6ndmup0htag0j2rx

Current NFT ID #507592 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
507592
Accession (UniProt):
P9WLV2
Name::
Uncharacterized protein MT1576
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WLV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLV2|Y1525_MYCTO Uncharacterized protein MT1576 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=wbbL2 PE=4 SV=1 MYAPLVSLMITVPVFGQHEYTHALVADLEREGADYLIVDNRGDYPRIGTERVSTPGENLGWAGGSELGFRLAFAEGYSHAMTLNNDTRVSKGFVAALLDSRLPADAGMVGPMFDVGFPFAVADEKPDAESYVPRARYRKVPAVEGTALVMSRDCWDAVGGMDLSTFGRYGWGLDLDLALRARKSGYGLYTTEMAYINHFGRKTANTHFGGHRYHWGASAAMIRGLRRTHGWPAAMGILREMGMAHHRKWHKSFPLTCPASC