O59787 AF NFT

Signal recognition particle subunit srp72

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicb6fik5kcbrtqyxeh23ejr5ydmdl43qn5mzra24xt7bidqbx4wli/metadata.json
IPFS of structure file: 
bafybeicnjmbyapddncw5myz4gj7i4dt6wjxbjg3mbdzizvbrodnditfdqy/AF-O59787-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd640e0Ab714Ec43DD946c544144F9045dd7C9133
First NFT owner address (bech32): 
genesis16eqwp2m3fmzrmk2xc4zpgnusghwheyfnpquzm6
Current NFT ID #436794 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436794
Accession (UniProt):
O59787
Name::
Signal recognition particle subunit srp72
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 O59787 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O59787|SRP72_SCHPO Signal recognition particle subunit srp72 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=srp72 PE=3 SV=1 MSNHEEEIEELAQRIGKIEVGDTKSDIYQKVLNLIDIERYEHALKIIEKYLGETDAVYERAYCAFQLGKEDFSLEDKQFLQHLQAQKAYRLSDFSKALKIYEHLENDLPEQRADIRVNMLAAASQLPGLQLNNAVSLDDQDSVFNLATRYLTIGDWNQAIELLSSSLEKLENSDSNSEDHKSQINLCRLQLFFAYLQAGDNEKASKESLKISKDCLDETSQAIFVNNLISMSIDNPYISFRDLHGTNLEKALSSLLASQKKQFIRNLALLDMAVGKQRSVRKEKKRNPEESIYFSTILLREETKSLISPKKLPGYLENLFKSDSDNIVVALLLMQHKISNGNFRGALSIYQKLRTSLEASQSLSVLYSPGLVGLGDALHYKIQSTGFKSQLLHEAANYWRKQQSCEAKLLLCTRSLLAHLDERAPVSTIQDDMSVIDDLLQWKGPISELVSCKVAALCYLDKEIESGMDKYLVPTKDLITGIDVDDIEIRGVPVSAAIGPIKRSVEANSSNSSKKTRKRRKPTPKSFNPKATPDPQRWIPKRDRTNVKIKSKGKSMQGGVA