Q86A72 AF NFT

Recoverin family protein DDB_G0274781

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekdkxjarqmi6xktxxu3rjt7ak7by7ehmlbhw7ijrbbfsbujqmely/metadata.json
IPFS of structure file: 
bafybeiahltopzaichupe2qsirwref4lmhxigpkyd7u7mwzur24gjyljnn4/AF-Q86A72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDD453Ccf00994130446EA989dec76c0ca050d82F
First NFT owner address (bech32): 
genesis1m4znencqn9qnq3rw4xyaa3mvpjs9pkp0p0yw5u
Current NFT ID #518159 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
518159
Accession (UniProt):
Q86A72
Name::
Recoverin family protein DDB_G0274781
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q86A72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86A72|Y4781_DICDI Recoverin family protein DDB_G0274781 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0274781 PE=3 SV=1 MGNKQGKSPNNSKGGKKYKIDNDVVKQLQESTNFDKVEAKKLYEVFYDLSNGGKEPLNRDRFKEGLTKLESCGLKNLDNSPFGDRLFDLLDTNKDNTVDLQEFISGLSILCKGTAEEKLELSFKAYDIDGNGYITKSELSQMFQQAWISGFKALSYQTNEEVNKDDLNNFSEEMAQIFADGAFSSLDVNGDGKLSFNEFKQFAMSHPKITATLNGSKRDVPITFD