Q3U182 AF NFT

CREB-regulated transcription coactivator 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidj3cebaisvvjq2kx2m2w5e4bjy542hcpif3jdhqh6jqqdknkfwyq/metadata.json
IPFS of structure file: 
bafybeib26l2ugwwm7xzz4nkg6uetvp7ktien2bd7axv2gbshp62bsvnk3y/AF-Q3U182-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #77608 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
77608
Accession (UniProt):
Q3U182
Name::
CREB-regulated transcription coactivator 2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q3U182 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3U182|CRTC2_MOUSE CREB-regulated transcription coactivator 2 OS=Mus musculus OX=10090 GN=Crtc2 PE=1 SV=2 MATSGANGPGSATASASNPRKFSEKIALQKQRQAEETAAFEEVMMDIGSTRLQAQKLRLAYTRSSHYGGSLPNVNQIGCGLAEFQSPLHSPLDSSRSTRHHGLVERVQRDARRMVSPLRRYPRHIDSSPYSPAYLSPPPESGWRRMMPWGNLPAEKGQLFRLPSALNRTSSDSALHTSVMNPNPQDTYPGPTPPSVLPSRRGGGFLDGEMDAKVPAIEENVVDDKHLLKPWDAKKLSSSSSRPRSCEVPGINIFPSPDQPANVPVLPPAMNTGGSLPDLTNLHFPPPLPTPLDPEETVYPSLSGGNSTTNLTHTMTHLGISGGLGLGPSYDVPGLHSPLSHPSLQSSLSNPNLQASLSSPQPQLQGSHSHPSLPASSLAHHALPTTSLGHPSLSAPALSSSSSSSSTSSPVLSAPPYPASTPGASPRHRRVPLSPLSLPAGPADARRSQQQLPKQFSPTMSPTLSSITQGVPLDTSKLPTDQRLPPYPYSPPSLVIPTHPPTPKSLQQLPSQACLVQPSGGQPPGRQPHYGALYPPGSSGHGQQPYHRPINDFSLGNLEQFNMESPSTSLVLDPPAFSEGPGFLGSEGSMSGPQDPHVLNHQNLTHCSRHGSGPNIILTGDSSPGFSKEIAAALAGVPGFEVSASGLELGLGLEDELRMEPLGLEGLTMLSDPCALLPDPAVEDSFRSDRLQ