Q924H7 AF NFT

WW domain-containing adapter protein with coiled-coil

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3zxiblywoe53j3nxhbgrz7mhnqzaidebfhb3lbqoljzkohgxtea/metadata.json
IPFS of structure file: 
bafybeicsgpftrgxnx5cztcn3e7oxodw4dbziaqkkrapjiwbxigl3q6ll4u/AF-Q924H7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #498693 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498693
Accession (UniProt):
Q924H7
Name::
WW domain-containing adapter protein with coiled-coil
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 Q924H7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q924H7|WAC_MOUSE WW domain-containing adapter protein with coiled-coil OS=Mus musculus OX=10090 GN=Wac PE=1 SV=2 MVMYARKQQRLSDGCHDRRGDSQPFQALKYSSKSHPSSGDHRHEKMRDAADPSPPNKMLRRSNSPENKYSDSTGHNKAKNVHTQRVRERDGGTSYSPQENSHNHSALHSSNSHSSNPSNNPSKTSDAPYDSADDWSEHISSSGKKYYYNCRTEVSQWEKPKEWLEREQRQKEANKLAVNSFPKDRDYRREVMQATATSGFTSGMEDKHSSDASSLLPQNILSQTSRHNDKDYRLPRAETHSSSTPVQHPIKPVVHPTATPSTVPSSPFTLQSDHQPKKSFDANGASTLSKLPTPTASLPAQKTERKESAPGDKSISHSCTTPSTSSASGLNPTSAPPTSASAVPVSPVPQSTIPPLLQDPNLFRQLLPALQATLQLNNSNVDISKINEVLTAAVTQASLQSIIHKFLTAGPSAFNITSLISQAAQLSTQAQPSNQSPMSLTSDASSPRSYVSPRISTPQTNTVPMKPLISTPPVSSQPKVSTPVVKQGPVSHSATQQPVTADKQQSHDPVSPRSLQRLSSQRSPSPGPNHTCSSNASTATVVPQNASARPACSLTPTLAAHFNDNLIKHVQGWPADHAEKQASRLREEAHNMGSVHMSEICTELKNLRSLVRVCEIQATLREQRILFLRQQIKELEKLKNQNSFMV