P9WGD9 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiacxkgw4hz2g555sjnoaj5osz75lm3mnjm2tmd46qna2afqvlohsm/metadata.json
IPFS of structure file: 
bafybeihc2pw6p6arzfd7xhopridcxk2b6a43owq4ykspywbe5mwj3p4ege/AF-P9WGD9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8b27E975435FC92C447D6b738427Bc706002Ac3F
First NFT owner address (bech32): 
genesis13vn7ja2rtlyjc3raddecgfauwpsq9tplkgcvty
Current NFT ID #137789 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137789
Accession (UniProt):
P9WGD9
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WGD9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGD9|FTSY_MYCTU Signal recognition particle receptor FtsY OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=ftsY PE=1 SV=1 MWEGLWIATAVIAALVVIAALTLGLVLYRRRRISLSPRPERGVVDRSGGYTASSGITFSQTPTTQPAERIDTSGLPAVGDDATVPRDAPKRTIADVHLPEFEPEPQAPEVPEADAIAPPEGRLERLRGRLARSQNALGRGLLGLIGGGDLDEDSWQDVEDTLLVADLGPAATASVVSQLRSRLASGNVRTEADARAVLRDVLINELQPGMDRSIRALPHAGHPSVLLVVGVNGTGKTTTVGKLARVLVADGRRVVLGAADTFRAAAADQLQTWAARVGAAVVRGPEGADPASVAFDAVDKGIAAGADVVLIDTAGRLHTKVGLMDELDKVKRVVTRRASVDEVLLVLDATIGQNGLAQARVFAEVVDISGAVLTKLDGTAKGGIVFRVQQELGVPVKLVGLGEGPDDLAPFEPAAFVDALLG