Q55GL2 AF NFT

Signal recognition particle 9 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibv4gmiavgjhuubfqpvfcld3677q2mha2jkdc5tv3j3xitjhr7cuq/metadata.json
IPFS of structure file: 
bafybeiajfs5vxavirwdp57rplon2nrwnx6omflrobj2ijfh77c4rh3wjxa/AF-Q55GL2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x568B0D9858E8A6F368085af601c10E76aD92ae6A
First NFT owner address (bech32): 
genesis1269smxzcazn0x6qgttmqrsgww6ke9tn2w83p3r
Current NFT ID #436609 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436609
Accession (UniProt):
Q55GL2
Name::
Signal recognition particle 9 kDa protein
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 Q55GL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q55GL2|SRP09_DICDI Signal recognition particle 9 kDa protein OS=Dictyostelium discoideum OX=44689 GN=srp9 PE=3 SV=1 MYIEDWDEFYDKSEQLYRTDPKRTRFSFKFRHVEGKVVLKVTNDTVNLKFQTDKENDFKRIDQINSLFFRLTTEQ