Q9RS67 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigt2tlbkiightysy3bmbewwpzu257k3qehg5wjzy4wdnv23rjbone/metadata.json
IPFS of structure file: 
bafybeigozlidex4g33qkczgrpw36y3xixkyvr4okpnmynkrekduimrddei/AF-Q9RS67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x378a28002909c2509a47F088Dee431D1ba770530
First NFT owner address (bech32): 
genesis1x79zsqpfp8p9pxj87zydaep36xa8wpfs9u5xqz
Current NFT ID #137772 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137772
Accession (UniProt):
Q9RS67
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
DEINOCOCCUS RADIODURANS (STRAIN ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422)

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 Q9RS67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RS67|FTSY_DEIRA Signal recognition particle receptor FtsY OS=Deinococcus radiodurans (strain ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422) OX=243230 GN=ftsY PE=3 SV=1 MSWFDRLRQGLSKTRQQISGTAGPLDQEVQTAFTRIDNIEDLEYALIAADVGRAATEEIIEDIRKNGEGRLQDALMRALTLQLEPNARRAQFRELGFSPDVSRSKVDPKGHVVMVIGVNGVGKTTTIAKLGQYYMERGQSVMFAAGDTFRAAAGTQLGVWGERLGVPVIQGVDGGDPAAVAFDAAGARKARGTDLLFVDTAGRLHNKHNLMEELKKVRRVIDKADPGEPAEVWLVLDAVTGQNGLQQAKKFHEATPLTGVVVTKLDGTAKGGILVPIVRELGVPIKFIGVGEQPGDLQPFDSQEFVRALFDVELPKA