Q5M7M7 AF NFT

Double-stranded RNA-binding protein Staufen homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeienme2bzyc36nvqwmn4sh3eukzgykyepgy6t7jzsqca4ainjuj3pi/metadata.json
IPFS of structure file: 
bafybeif5bavk6ro6rua3sroopniygjyfe4jkpnq2pqykrvsup3m3ktz6oa/AF-Q5M7M7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5b528f903830232B2AE32bD924DF439A2CA30548
First NFT owner address (bech32): 
genesis1tdfglypcxq3jk2hr90vjfh6rngk2xp2gwgdngs
Current NFT ID #439304 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
439304
Accession (UniProt):
Q5M7M7
Name::
Double-stranded RNA-binding protein Staufen homolog 2
Experimental Method:
Predicted structure
Sequence source:
XENOPUS TROPICALIS

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 Q5M7M7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5M7M7|STAU2_XENTR Double-stranded RNA-binding protein Staufen homolog 2 OS=Xenopus tropicalis OX=8364 GN=stau2 PE=2 SV=1 MTNPKEKTPMCLVNELARFNRIQPQYKLLDERGPAHSKLFTVQLTLGEQTWQAESTSIKKAQHAAASLALSETTLPKPAARQTKNHMNNNPEAAELHGNTFTSSRHSAKGSITPTVELNGLAMRRGEPAIYRSLDPKPLPNQRANYNYRGMYHQRYLCPMLKTFYVQLTVGNSEFYGEGKTRQAARHNAALKALHALRNEPIPERSSLNGEANRGPEEDKDANKSEISLVFEISLKRNLSLSFEVIKESGPPHMKSFVTRVTVGEFTAEGEGNSKKLAKRRAAAAVLQELRKLPPLPVIEKPRIYIKRRPKNIIKASPEYGQGMNPISRLAQIQQAKKEKEPEYVLLSERGIQRRREFVMQVKVGEETATGTGPNKKTAKRNAAEAMLLQLGYKASSPVVEKTGKRGENPDWDEQNSGIADQTSTPKGILHLSPDVYQEMEASRNKTVPAPAISYLSSKEMNQASSSFFSTSVSQSCTAAIARELLTNGTSPTAEAIGFTGKNLMCHSSTVQPSKQLEYLAGIQGLQVNYSDRQSGNDFLTCLTLSPVQMTFHGIGSSLEASHDQAALSALKQFSEQGLDSVDGSLMAENGPFEQAKLRGEKADNKQANSGTIAQDCKDSKAVV