P9WMG2 AF NFT

Uncharacterized HTH-type transcriptional regulator MT3179

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2c2sxdz4houcm6fcoow2zt67xrksoyfjzghl6ikvp7os4jj5nga/metadata.json
IPFS of structure file: 
bafybeiblcpxuu7k7za6a6ytrxrk2ki7vcewlrhfusa42jj22mrinyupvba/AF-P9WMG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa7a8Bd7Dd8aC3831b90C08d397E1a831845f1D28
First NFT owner address (bech32): 
genesis1575t6lwc4surrwgvprfe0cdgxxz978fg4z6aqe
Current NFT ID #514499 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514499
Accession (UniProt):
P9WMG2
Name::
Uncharacterized HTH-type transcriptional regulator MT3179
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 P9WMG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMG2|Y3095_MYCTO Uncharacterized HTH-type transcriptional regulator MT3179 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT3179 PE=4 SV=1 MAVSDLSHRFEGESVGRALELVGERWTLLILREAFFGVRRFGQLARNLGIPRPTLSSRLRMLVELGLFDRVPYSSDPERHEYRLTEAGRDLFAAIVVLMQWGDEYLPRPEGPPIKLRHHTCGEHADPRLICTHCGEEITARNVTPEPGPGFKAKLASS