P33731 AF NFT

Signal recognition particle subunit SRP72

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7jwnu6fiwhx4ybyns2azopizvy5jq2hcwmhn2r5fkflzqlyftce/metadata.json
IPFS of structure file: 
bafybeih2thd34mnxlyimmcvj4qozrwxx5q474rzsawhuttzbhux6oy47dy/AF-P33731-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #436790 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436790
Accession (UniProt):
P33731
Name::
Signal recognition particle subunit SRP72
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 P33731 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P33731|SRP72_CANLF Signal recognition particle subunit SRP72 OS=Canis lupus familiaris OX=9615 GN=SRP72 PE=1 SV=3 MASGGSGGVSVPALWSEVNRYGQNGDFTRALKTVNKILQINKDDVTALHCKVVCLIQNGSFKEALNVINTHTKVLANNSLSFEKAYCEYRLNRIENALKTIESANQQTDKLKELYGQVLYRLERYDECLAVYRDLVRNSQDDYDEERKTNLSAVVAAQSNWEKVVPENLGLQEGTHELCYNAACALIGQGQLSQAMKILQKAEDLCRRSLSEDSDGTEEDPQAELAIIHGQMAYILQLQGRTEEALQLYNQIIKLKPTDVGLLAVIANNIITINKDQNVFDSKKKVKLTNAEGVEFKLSKKQLQAIEFNKALLAMYTNQAEQCRKISASLQSQSPEHLLPVLIQAAQLCREKQHTKAIELLQEFSDQHPENAAEIKLTMAQLKISQGNISKACLILRSIEELKHKPGMVSALVTMYSHEEDIDSAIEVFTQAIQWYQNHQPKSSAHLSLIREAANFKLKYGRKKEAISDLEQLWKQNPKDIHTLAQLISAYSLVDPEKAKALSKHLPSSDSMSLKVDVEALENSPGATYIRKKGGKVAGDSQPKEQGQGDLKKKKKKKKGKLPKNYDPKVTPDPERWLPMRERSYYRGRKKGKKKDQIGKGTQGATAGASSELDASKTVSSPPTSPRPGSAATASASTSNIIPPRHQKPAGAPATKKKQQQKKKKGGKGGW