Q9PW80 AF NFT

Insulin-like growth factor 2 mRNA-binding protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7zqcu74s4w7dnhmm5ldb35777g2c5xj3wf635a2h5xkroinlnwa/metadata.json
IPFS of structure file: 
bafybeifwle7q44w3gnst26okyal4casdsj5nvnosedn2j3dwrnmbltrob4/AF-Q9PW80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5fAc844F3eB0603C2D36eF1eFC4Ec1afF91AF3C9
First NFT owner address (bech32): 
genesis1t7kggne7kpsrctfkau00cnkp4lu34u7fk9pnkw
Current NFT ID #184819 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
184819
Accession (UniProt):
Q9PW80
Name::
Insulin-like growth factor 2 mRNA-binding protein 3
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9PW80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PW80|IF2B3_DANRE Insulin-like growth factor 2 mRNA-binding protein 3 OS=Danio rerio OX=7955 GN=igf2bp3 PE=1 SV=1 MNKLYIGNVSEQASALDLESIFEQWKIPFSAPFLVKSGYAFVDCPDEKVAMRAIDTLSGKVELHGKVLEVEHSVPKRQRSCKLQIRNIPPHMQWEVLDGLLAQYGTVESCEQVNTDTETAVVNVRYGAKDQAREAMDKLNGFLMENYALKVSYIPDETAAADAPAVGGRRGFNPRGPPRQGSPSLGARPKLQSDVPLRLLVPTQFVGAIIGKEGATIRNITKQTHSKIDIHRKENAGAAEKPITVHSTPEGCSSACRNIMEIMQKEAIDTKITEEIPLKILAHNNFVGRLIGKEGRNLKKIEQDTDTKITISPLQDLTLYNPERTITVKGTLDACAKAEEEIMKKVRESYENDVAAMHLQSNLIPGLNLNALGLFPGAASGGISPSVVSGPPPGAQAGYQSFGAQMESETVHLFIPALAVGAIIGKQGQHIKQLSRFAGASIKIAPADGIDAKQRMVIISGPPEAQFKAQGRIFGKLKEENFFGPKEEVKLEAHIKVPSFAAGRVIGKGGKTVNELQNLTSAEVVVPRDQTPDENDQVVVKITGHFYASQLAQRKIQEIISQVRRQQQPKPSAAGPPVARRK