A9VTH7 AF NFT

Antiholin-like protein LrgA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggnb2ykesclviokmzbwgrz7j62mgihczcoxranj2zgjcv2lc6hbe/metadata.json
IPFS of structure file: 
bafybeief2gjrgqxbkqghxeny3zkzr2vp2lm44exougfrfg6prktqrmfqgu/AF-A9VTH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81Cb9D6826c494c4199378382c6Eb30Ba05CC2C7
First NFT owner address (bech32): 
genesis1s89e66pxcj2vgxvn0quzcm4npws9esk8ssr8zr
Current NFT ID #219827 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
219827
Accession (UniProt):
A9VTH7
Name::
Antiholin-like protein LrgA
Experimental Method:
Predicted structure
Sequence source:
Bacillus mycoides (strain KBAB4)

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 A9VTH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9VTH7|LRGA_BACMK Antiholin-like protein LrgA OS=Bacillus mycoides (strain KBAB4) OX=315730 GN=lrgA PE=3 SV=1 MSTKKVYSFLSQAFIFSAIMLVSNIIATHLPIPMPSSVIGLVILFSLLCLKVIKLEQVESLGTALTGIIGFLFVPSGISVINSLGVMGQYFVQILTVIVVATIILLAVTGLFAQFILGKDDKEIEDTKELKVVNKGRKHGKVA