A3QBA2 AF NFT

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih54ume3oo4szzbjv7nseqlbg7dnu4hfhipjmcm22gi25dxjq3cey/metadata.json
IPFS of structure file: 
bafybeihbtydkjydbl6bo3qgfw56egjidhyrl5qkp73ehe2pykkqgrnldry/AF-A3QBA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa5b9334999e853338500C52E820D8e89F7D0B7Ea
First NFT owner address (bech32): 
genesis15kunxjveapfn8pgqc5hgyrvw38mapdl256t4hq
Current NFT ID #17607 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
17607
Accession (UniProt):
A3QBA2
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
Shewanella loihica (strain ATCC BAA-1088 / PV-4)

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 A3QBA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3QBA2|APAG_SHELP Protein ApaG OS=Shewanella loihica (strain ATCC BAA-1088 / PV-4) OX=323850 GN=apaG PE=3 SV=1 MKQLESSIRIEVKTDYIEEQSSPEEERYLFSYTITIINLGDEAVTLKSRMWCITDANGHESKVEGAGVVGETPTIKPNTAYQYTSGTVCETPFAVMQGYYVMVTEQGETFKAPIAPFRLAAPGLLH