Q87C84 AF NFT

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifymj2hmz4spat7uqpb5ftag2qe3ztt45kxjyfls2cq7zbsljotim/metadata.json
IPFS of structure file: 
bafybeidpvkve4cndsnihmscotuubf4o2gtegadykli2eev4unjdmscfjfe/AF-Q87C84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #17651 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
17651
Accession (UniProt):
Q87C84
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
Xylella fastidiosa (strain Temecula1 / ATCC 700964)

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 Q87C84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87C84|APAG_XYLFT Protein ApaG OS=Xylella fastidiosa (strain Temecula1 / ATCC 700964) OX=183190 GN=apaG PE=3 SV=1 MENNPSSKIEVAVSSRFLDQQSNRNEGRYVFAYTIRIYNAGNVPARLIARHWQITDANGKVEYVTGEGVIGEQPRLRPGEEFRYTSGVVLGTEQGQMQGHYDMMADDGTEFTATISPFVLSVPRTLH