Q66EQ9 AF NFT

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihfgdcddmp7ovjnwvgzf4lui2rgi3vvr5exypf7m5zxqkdm2ehqsm/metadata.json
IPFS of structure file: 
bafybeib257xcl5bpqycya5ffb7mv5q5nxg4nmar7pxz7jjmtlvbug66see/AF-Q66EQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3A3FC82Ee3a728C289D3f75A2144513F84fa1982
First NFT owner address (bech32): 
genesis18glusthr5u5v9zwn7adzz3z387z05xvzlxh4pp
Current NFT ID #17660 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
17660
Accession (UniProt):
Q66EQ9
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66EQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66EQ9|APAG_YERPS Protein ApaG OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=apaG PE=3 SV=1 MIEQPRICVQVQSIYVETQSIPEEERFVFAYTVTVRNLGRSNVQLLGRYWLITNSNGRQTEVQGEGVIGEQPLILPGNEFQYTSGAVLETPLGTMEGHYEMIDHLGQAFRTVIPVFRLAIPALIH