P16254 AF NFT

Signal recognition particle 14 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggbysvqyatdiwwepy26kukq6yoeycdebfwklbjwwshtr46cooimu/metadata.json
IPFS of structure file: 
bafybeiay7kxdjgfhhar3xpksuwodgqasmaypl5xwsfdc3xbdzwcwfs6jz4/AF-P16254-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBE81563aE073ce9CCBbFCd4eb1F3935F14a0001F
First NFT owner address (bech32): 
genesis1h6q4vwhqw08fejale48truuntu22qqqlfyjfyf
Current NFT ID #436623 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436623
Accession (UniProt):
P16254
Name::
Signal recognition particle 14 kDa protein
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P16254 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16254|SRP14_MOUSE Signal recognition particle 14 kDa protein OS=Mus musculus OX=10090 GN=Srp14 PE=1 SV=1 MVLLESEQFLTELTRLFQKCRSSGSVFITLKKYDGRTKPIPRKSSVEGLEPAENKCLLRATDGKRKISTVVSSKEVNKFQMAYSNLLRANMDGLKKRDKKNKSKKSKPAQ