P9WJ33 AF NFT

Antitoxin VapB32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqbmgpnyckjevcuhfkghhgyn7gqiph62b5bm7oz3uvba43whska4/metadata.json
IPFS of structure file: 
bafybeifbnsuuunf674ljuljb5ixfmh43fqqud23erbljml26x7ibziw6my/AF-P9WJ33-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC6F27A824B664EFA5726f983121805502318e85b
First NFT owner address (bech32): 
genesis1cme84qjtve8054exlxp3yxq92q3336zmth60kw
Current NFT ID #497658 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497658
Accession (UniProt):
P9WJ33
Name::
Antitoxin VapB32
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 P9WJ33 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ33|VPB32_MYCTU Antitoxin VapB32 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=vapB32 PE=1 SV=1 MRTTVTVDDALLAKAAELTGVKEKSTLLREGLQTLVRVESARRLAALGGTDPQATAAPRRRTSPR