P97399 AF NFT

Dentin sialophosphoprotein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawmzmxznp4qs66fs7okowleo3h5dtdpcmanz4vukizj5knnjamfi/metadata.json
IPFS of structure file: 
bafybeia62lgtonudlivohljxend7u2ribzjzujj6mwu7sytu5v4edh4n6a/AF-P97399-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x03462006ba7Fad9B53b009AA08d27577e18e3878
First NFT owner address (bech32): 
genesis1qdrzqp4607kek5aspx4q35n4wlscuwrcwvy48j
Current NFT ID #105879 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105879
Accession (UniProt):
P97399
Name::
Dentin sialophosphoprotein
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 P97399 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97399|DSPP_MOUSE Dentin sialophosphoprotein OS=Mus musculus OX=10090 GN=Dspp PE=1 SV=2 MKMKIIIYICIWATAWAIPVPQLVPLERDIVENSVAVPLLTHPGTAAQNELSINSTTSNSNDSPDGSEIGEQVLSEDGYKRDGNGSESIHVGGKDFPTQPILVNEQGNTAEEHNDIETYGHDGVHARGENSTANGIRSQVGIVENAEEAESSVHGQAGQNTKSGGASDVSQNGDATLVQENEPPEASIKNSTNHEAGIHGSGVATHETTPQREGLGSENQGTEVTPSIGEDAGLDDTDGSPSGNGVEEDEDTGSGDGEGAEAGDGRESHDGTKGQGGQSHGGNTDHRGQSSVSTEDDDSKEQEGFPNGHNGDNSSEENGVEEGDSTQATQDKEKLSPKDTRDAEGGIISQSEACPSGKSQDQGIETEGPNKGNKSIITKESGKLSGSKDSNGHQGVELDKRNSPKQGESDKPQGTAEKSAAHSNLGHSRIGSSSNSDGHDSYEFDDESMQGDDPKSSDESNGSDESDTNSESANESGSRGDASYTSDESSDDDNDSDSHAGEDDSSDDSSGDGDSDSNGDGDSESEDKDESDSSDHDNSSDSESKSDSSDSSDDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSNSSSDSSDSSGSSDSSDSSDTCDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSSSSDSSDSSSCSDSSDSSDSSDSSDSSDSSDSSSSDSSSSSNSSDSSDSSDSSSSSDSSDSSDSSDSSDSSGSSDSSDSSASSDSSSSSDSSDSSSSSDSSDSSDSSDSSDSSESSDSSNSSDSSDSSDSSDSSDSSDSSDSSDSSDSSNSSDSSDSSDSSDSSDSSNSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSDSSNSSDSSDSDSKDSSSDSSDGDSKSGNGNSDSNSDSNSDSDSDSEGSDSNHSTSDD