Q92GB8 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfyl6puusszd3ywruomctgalnoinhjcy3b6gjfxo3hcq6g6llbwy/metadata.json
IPFS of structure file: 
bafybeifqfkmgnmj5ptegqvebslhpmhrk4zsbcuudsqh4sw5ostvzfewtia/AF-Q92GB8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8C89B5B70Dc8b1670d4eEC66a50BF9eFFEEAe59E
First NFT owner address (bech32): 
genesis13jymtdcdezckwr2wa3n22zleallw4ev7pwyvn2
Current NFT ID #137795 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137795
Accession (UniProt):
Q92GB8
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 Q92GB8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92GB8|FTSY_RICCN Signal recognition particle receptor FtsY OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=ftsY PE=3 SV=1 MISIFSKLKQSLSKTSNKISEGIDKIFYKKKLDAGTLEELEELLISSDMSVLVVTNIIEEFKKVKFDKEIDSDTVKEALAKLIEQQLSKSAIPFTLSENKLNVILVCGVNGAGKTTTIGKLASMYSAQGKKVAVAACDTFRAAAVNQLSTWADRANALLITGEESADPASVAYRGMEESIKQNIDILFIDTAGRLHNKKNLMDELSKIVKVIKKLDENAPTHSVLVIDAITGQNTYNQVEHFNDATNLTGLIVTKLDGSAKAGVIVGVVQKFNLPLYFIGIGEKIEDLKIFNQHDFARNLVGL