Q3IUP1 AF NFT

Signal recognition particle 54 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekmgkirqwjgrhux5i4jyeuxmr23tkfs7eima7mmwswgngiyzzgs4/metadata.json
IPFS of structure file: 
bafybeihhnb3jufhiiyjjlvhpwlbgeritl7lkkb4qnxm2xoooyoo6yzhi2u/AF-Q3IUP1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6b10316aB8893Dd7E94efdF6F8cc1066488eeA6e
First NFT owner address (bech32): 
genesis1dvgrz64c3y7a062wlhm03nqsveyga6nwtv4ern
Current NFT ID #436742 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436742
Accession (UniProt):
Q3IUP1
Name::
Signal recognition particle 54 kDa protein
Experimental Method:
Predicted structure
Sequence source:
Natronomonas pharaonis (strain ATCC 35678 / DSM 2160 / CIP 103997 / JCM 8858 / NBRC 14720 / NCIMB 2260 / Gabara)

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 Q3IUP1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3IUP1|SRP54_NATPD Signal recognition particle 54 kDa protein OS=Natronomonas pharaonis (strain ATCC 35678 / DSM 2160 / CIP 103997 / JCM 8858 / NBRC 14720 / NCIMB 2260 / Gabara) OX=348780 GN=srp54 PE=3 SV=1 MVLDDLGSSLRGTLDKLQGKTTLSEDDVEEIVKEIQRSLLSADVDVDLVMDLSDSIRERALDEEPPAGTTARDHVLKIVYEEMVELVGESTALPLEEQTIVLAGLQGSGKTTTAAKMAWWFSKKGLRPAVIQTDTFRPGAYDQAKEMCERAEVDFYGNPDSDDPVEIAERGLEETADADVHIVDTAGRHALEEALIDELEAIESAVDPDRNLLVLDAAIGQGAKDQAERFHDAVGIDGVAITKLDGTAKGGGALAAVDQTDSSIAFLGTGEEVKDIERFEPSGFISRLLGMGDLKQLSERVERAMEETQAEEDWDPEDLMKGEFTLKDMRNQMNAMNKMGPLDQVMDMIPGLGGGIKDQLPDDAMDMTQERLRDFEVIMDSMSEAELENPRAIGQSQIERIARGSGTDEDTVRELLEQHKMMSRMMKQFQGMGDGDMQRMMKQMQQGGGGGGGGGGGLGGMGPFGD