Q7M461 AF NFT

Attractin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbxsontpjbux4hz5axkq7uzqquyw7kbwifuialmrnbi7z3kcabda/metadata.json
IPFS of structure file: 
bafybeidxtf2g3q4nhf2i4cqomir7lb3ezt726encj66cni3q6bmkiji2na/AF-Q7M461-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8881898ab018738C7Ce955f1E677a924330a5A7E
First NFT owner address (bech32): 
genesis13zqcnz4srpeccl8f2hc7vaafyses5kn72j2tyd
Current NFT ID #39111 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39111
Accession (UniProt):
Q7M461
Name::
Attractin
Experimental Method:
Predicted structure
Sequence source:
Aplysia vaccaria

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 Q7M461 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7M461|ATT_APLVA Attractin OS=Aplysia vaccaria OX=144771 GN=ATT PE=1 SV=1 NNKCDIEFATSECEMRYQDCGEASSCTALIEECKTSLQEECNQASSDESSTTVRPE