Q7TN08 AF NFT

Dapper homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiervav7sxvthp7cvhoqnjhkaae2weji4hnzphuv5ej6tm5cleycba/metadata.json
IPFS of structure file: 
bafybeicdnfoxl6fqhfgw4t2qa5t2cqzcgicaptdqqhc3zpcuq2gw7jvux4/AF-Q7TN08-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x556B5F949095C71590D201CC2FbEA0Ca9e5aD1d7
First NFT owner address (bech32): 
genesis12444l9ysjhr3tyxjq8xzl04qe20945whgwx2fw
Current NFT ID #87196 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
87196
Accession (UniProt):
Q7TN08
Name::
Dapper homolog 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 Q7TN08 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7TN08|DACT2_MOUSE Dapper homolog 2 OS=Mus musculus OX=10090 GN=Dact2 PE=1 SV=2 MWAPSGQGPAGWDRRRVGARLRAALAGLQELQGLRATQQARVRGALGLHPAPGPRGQELRLEAALTALREQLSRLRRQDAGLKTHLDQLDQQISELQLDVSRSSCEALDSDSRPSSGFYELSDAGSCSLSTSCASVCSDRLSPSLGSWLPVFQPSKSRSGIGDWRPRSADETTVPAWSPQLTEDSRLLHGAEGTGRLTGMFRPRPVSTGDLERVLPADVGLQRAGTDAAHLLGQGIEIPAHALDPTYQRDLVARGGQEVYPYPSPLHAVALQSPLFALPKEAPCFDICSPPQEPPLVPVDENRTQPEPIRELGSAEAYIHRLLHLRGQELPLRDVGQEQGGDTAAFPPKPCGQRSESTCQLEKQACGADRGGLKLGRGAAKDSLKQHGPVSLVGAEPLSSPLKEETIPWNPCVHGDNTVGSSPCSQAQQPLNDCGQGPVLSPSRVLGTESPPLAPEPFAYTSCTTGETSPVKLRMGFSQNKAVKVRRRVSEKVPRLGKQLPPQPERQRVTERDPSRPHQGGLSRRPTLAREPPGRSCSESTLYPVPFLVPVVVAQRESYPTSPQAFFPMEAALLSSAARRKQRRWQSTMEISAKAGSVSQPGPSMGLPRSPAKRGSGPRAQSRPTLARQDACARCESDPSEHSADCTSLYHSTIAETSEDEEASDHTANRFGDESSSNDSEGCFRGSRRRLAIGSAEAGQGGWAWPRVPPQQPSRAPGNTRPPLPPVPKLCRIKASKALKKKIRRFQPAALKVMTMV