O07347 AF NFT

Signal recognition particle protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidnaewl6fddzl5slge4posk3zklswxjn7j6iminf6qtzgsy5nymfm/metadata.json
IPFS of structure file: 
bafybeibw3tcssmbvlpfngazulxihdabd7h2ajzeewsrmcqdadzivv5reb4/AF-O07347-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAFeA37bDaDABc4D574f7966CCC7435f7649E0287
First NFT owner address (bech32): 
genesis14l4r00dd40zd2a8hjekvcap47ajfuq58vumluz
Current NFT ID #436773 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436773
Accession (UniProt):
O07347
Name::
Signal recognition particle protein
Experimental Method:
Predicted structure
Sequence source:
THERMUS AQUATICUS

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 O07347 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O07347|SRP54_THEAQ Signal recognition particle protein OS=Thermus aquaticus OX=271 GN=ffh PE=1 SV=3 MFQQLSARLQEAIGRLRGRGRITEEDLKATLREIRRALMDADVNLEVARDFVERVREEALGKQVLESLTPAEVILATVYEALKEALGGEARLPVLKDRNLWFLVGLQGSGKTTTAAKLALYYKGKGRRPLLVAADTQRPAAREQLRLLGEKVGVPVLEVMDGESPESIRRRVEEKARLEARDLILVDTAGRLQIDEPLMGELARLKEVLGPDEVLLVLDAMTGQEALSVARAFDEKVGVTGLVLTKLDGDARGGAALSARHVTGKPIYFAGVSEKPEGLEPFYPERLAGRILGMGDVASLAEKVRAAGLEAEAPKSAKELSLEDFLKQMQNLKRLGPFSEILGLLPGVPQGLKVDEKAIKRLEAIVLSMTPEERKDPRILNGSRRKRIAKGSGTSVQEVNRFIKAFEEMKALMKSLEKKKGRGLMGMFRR