Q9HMN5 AF NFT

Signal recognition particle 54 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6zvbn4vewhgdpcniaadr3drms52fakmvol7dqaag3cmxcih7pvq/metadata.json
IPFS of structure file: 
bafybeigeypl5dbdm2dahcvtbjvdr4xcl5kknisiaujxpoy4rdfh4jda7tq/AF-Q9HMN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #436707 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436707
Accession (UniProt):
Q9HMN5
Name::
Signal recognition particle 54 kDa protein
Experimental Method:
Predicted structure
Sequence source:
HALOBACTERIUM SALINARUM (STRAIN ATCC 700922 / JCM 11081 / NRC-1)

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 Q9HMN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HMN5|SRP54_HALSA Signal recognition particle 54 kDa protein OS=Halobacterium salinarum (strain ATCC 700922 / JCM 11081 / NRC-1) OX=64091 GN=srp54 PE=3 SV=1 MVLDDLGSSLRGTLDTLRGKSRISEEDVDKVVKEIQRSLLQADVDVDLVMDLSESITERSLEEEPPGGTSARDHVLRIVYEELVGLVGDSTPIPLEEQTIMLAGLQGSGKTTTAAKMAWWFSKKGLRPAIVQTDTFRPGAYEQAAEMADRAEVDFYGEPDSDDPVQIARDGLAATADADVHIVDTAGRHALEDDLIAEIEEIEGVVEPDRSLLVLDAAIGQGAKQQARQFDASIGIDGVAITKLDGTAKGGGSLTAVNETDSTIAFLGSGETVQDIERFEPDSFISRLLGMGDLKQLTERVERAMEETQDDDEDWDPEDLMKGEFTLHDMRKQMQAMDNMGPLDQVMDMIPGMGGGLMDELPDDAMDVTQERMRGFEVIMDSMTEAEMADPRSVGASQIRRIARGSGQPEDRVRELLDQHKMMAQTMQQFQGMGDGDMQRMMSKMQQQGGGGGGGFGGMF