Q54EP7 AF NFT

Signal recognition particle subunit SRP72

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjgapb4thp542kclcfff5p2brd3gzctwzmjuoleaa5r3gbjbcacy/metadata.json
IPFS of structure file: 
bafybeihdtohye4l2pqycmqs4sdpbnczmtblsylq5mqab2eu3ifr47fpaoy/AF-Q54EP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #436791 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436791
Accession (UniProt):
Q54EP7
Name::
Signal recognition particle subunit SRP72
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54EP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54EP7|SRP72_DICDI Signal recognition particle subunit SRP72 OS=Dictyostelium discoideum OX=44689 GN=srp72 PE=3 SV=1 MSKDTTVSLEQLFKELDEYIINSQFKKAIRVCNKILSVNGNDSEAFQCKVICLMQLSNFTEAIECFKKPEQIQSMQFEYSYCLYSTAKYQEALTQLEKQSSKETKSLELEAQIYYKLENYQKTISIYESLLSKPGYSDSIEFITNLCAVYLDAGKFNECQELLNKNKSQQTKTHELAFNSACLAISKNDTKTAETQLKLAKKICTDSLKKDGFSEEEIKEEQTSIDVQLGYVQQICGNLEKSLEQYQNVLEQQVGDSATLVATNNSISVRSILQSDQWSTQPKEYTHAMDSLKSLLTEAESTRLNSKQKKVINYNLCLLLVQLKKVSQCEELIKTLKSKYGQQQQQVDTSFVEDLDIIQVSLLIKEKKFKDAEKLLLKNNTTTGSIKSQLLLAQIYLLDNNNVAKALNVLEKLDSSVSLRPGIVATKVALYEKSGDLEKAVNSLDDLISIFDKQKKSEKDEEIYVNLLKASGNFKLKHHKYREASDMFDRVLKINPNDLIALPSYIVATSHFDPSLSQKYEGKLPNIKFESKIDIDLIEKYGLTFEKKLNLNEDSNSSSPTTTTTTTTKSTKPTATEVVKIKKSKKKLPKVMKPNYVPDPGRWLPKWQRANAKAARSKKNKDIIKGPQGIASASQTASLFVQESKNTNTNNNNTQSSKSEKPRNIHKKKSKK