Q9P372 AF NFT

Signal recognition particle subunit srp14

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmswnyishsllzmad6zkeajjfyxoj6j6vylnhdibimqx7wwqlhqfq/metadata.json
IPFS of structure file: 
bafybeigwzwawsqiv5py76mhltnpc43kg2xx6irp2dfjqykan3ie2psv7g4/AF-Q9P372-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9D1b19024D2c9eA9d8eCF531d4acCd9E0a4D782B
First NFT owner address (bech32): 
genesis1n5d3jqjd9j02nk8v75caftxdnc9y67ptm5vfng
Current NFT ID #436626 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436626
Accession (UniProt):
Q9P372
Name::
Signal recognition particle subunit srp14
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 Q9P372 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P372|SRP14_SCHPO Signal recognition particle subunit srp14 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=srp14 PE=1 SV=1 MLLSNEEFLKKLTDLLQTHQSKGTGSVYLSQKCNPVDEGEGSSASVLIRAKSGAAEKISTVVELDYFTDFFQSYAEVCKGQIVGLKKRDRKKTKKNKKKTTSSGHT