P0CW32 AF NFT

Putative antitoxin VapB23

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibi5ud3xyj4edwwiodoxw7vzfvll3e5v7rzi4jjvprlov3zrvgnfq/metadata.json
IPFS of structure file: 
bafybeiblqfdy4cmtes37gsvmnu7vz4i6gyezqaxo2i6xcogxegwesg4zdm/AF-P0CW32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x26d964fb1B3FE150CDEeC1abD663fC6ef9ae347f
First NFT owner address (bech32): 
genesis1ymvkf7cm8ls4pn0wcx4avcludmu6udrlddr5tj
Current NFT ID #497644 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497644
Accession (UniProt):
P0CW32
Name::
Putative antitoxin VapB23
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 P0CW32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CW32|VPB23_MYCTU Putative antitoxin VapB23 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=vapB23 PE=4 SV=1 MLSDEEREAFRQQAAAQQMSLSNWLRQAGLRQLEAQRQRPLRTAQELREFFASRPDETGAEPDWQAHLQVMAESRRRGLPAP