P9WJ37 AF NFT

Putative antitoxin VapB29

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabwyepbktsgdvuxigt4pradvoop2wncfobvy4kxuhzcnk5hu3ox4/metadata.json
IPFS of structure file: 
bafybeidoxca57q3w2n56xxoznor3mfmc2f6evhhdc5i5iiotqr62oyg5xe/AF-P9WJ37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #497653 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497653
Accession (UniProt):
P9WJ37
Name::
Putative antitoxin VapB29
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 P9WJ37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ37|VPB29_MYCTU Putative antitoxin VapB29 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=vapB29 PE=1 SV=1 MRTTIDLPQDLHKQALAIARDTHRTLSETVADLMRRGLAANRPTALSSDPRTGLPLVSVGTVVTSEDVRSLEDEQ