A0QRY0 AF NFT

Toxin Doc

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7lkd5knex7wilqp3h6ywb4ts6hxaviarv6u6fw2kpppuwmrpsiq/metadata.json
IPFS of structure file: 
bafybeihb5pzqufy5wl2etwnyci4tnk4rtypkl4kbweirs6ribtsmuebbyq/AF-A0QRY0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #103144 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
103144
Accession (UniProt):
A0QRY0
Name::
Toxin Doc
Experimental Method:
Predicted structure
Sequence source:
MYCOLICIBACTERIUM SMEGMATIS (STRAIN ATCC 700084 / MC(2)155)

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 A0QRY0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0QRY0|DOC_MYCS2 Toxin Doc OS=Mycolicibacterium smegmatis (strain ATCC 700084 / mc(2)155) OX=246196 GN=doc PE=1 SV=1 MTEYLDREDVLTAGSIAFGGELKVRDYGLLDAAVARPQATVYGVDAYPRLWDKAAALLQSLARNHALVDGNKRTAWAAAWTFLHINGVQLAADFDVDRAEDLMNEVATRDCDLDSIAAELAGFAAAAQTG