Q4R5C7 AF NFT

Signal recognition particle 14 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejctnmv2tplvohidh5h2ivtblvy5vsm62wz7wwfqwcfbqipd3c7q/metadata.json
IPFS of structure file: 
bafybeiahbobyt5sksdv2opuqaisafkcugcmtx3qedbnbnylzsr3yavuvrq/AF-Q4R5C7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #436621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436621
Accession (UniProt):
Q4R5C7
Name::
Signal recognition particle 14 kDa protein
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q4R5C7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4R5C7|SRP14_MACFA Signal recognition particle 14 kDa protein OS=Macaca fascicularis OX=9541 GN=SRP14 PE=2 SV=1 MVLLESEQFLTELTRLFQKCRTSGSVYITLKKYDGRTKPIPKKGTVEGFEPADNKCLLRATDGKKKISTVVSSKEVNKFQMAYSNLLRANMDGLKKRDKKNKTKKTKAAAAAAAAAVAAAAAPAAAATTATPATPAATAATAAQ