P9WIN7 AF NFT

Low molecular weight antigen MTB12

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidht2c4yoik6hql4qehhes56ydmkufjurq6rawcdibvj3s2lcjhuy/metadata.json
IPFS of structure file: 
bafybeid666cwm73nix6airkmnowapt6rdkqq64lh3ycepnu6lpvryysjca/AF-P9WIN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD3bd538a46188944C950E380231DCb1ca8D2468D
First NFT owner address (bech32): 
genesis16w748zjxrzy5fj2suwqzx8wtrj5dy35dygmlyz
Current NFT ID #246825 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
246825
Accession (UniProt):
P9WIN7
Name::
Low molecular weight antigen MTB12
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 P9WIN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WIN7|MTB12_MYCTU Low molecular weight antigen MTB12 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=mtb12 PE=1 SV=1 MKMVKSIAAGLTAAAAIGAAAAGVTSIMAGGPVVYQMQPVVFGAPLPLDPASAPDVPTAAQLTSLLNSLADPNVSFANKGSLVEGGIGGTEARIADHKLKKAAEHGDLPLSFSVTNIQPAAAGSATADVSVSGPKLSSPVTQNVTFVNQGGWMLSRASAMELLQAAGN