Q329B3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicayrmkjtdamkvgd2a6i4hwm4kwm563slmvy4b4qwwss7zv2dpb6y/metadata.json
IPFS of structure file: 
bafybeihdryf67kstanypbr6fb7czmb2oqacdb226bfd57i5qhztb7l475i/AF-Q329B3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #532547 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532547
Accession (UniProt):
Q329B3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q329B3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q329B3|YIDD_SHIDS Putative membrane protein insertion efficiency factor OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=yidD PE=3 SV=1 MAPPLSPGSRVLIALIRVYQRLISPLLGPHCRFTPTCSSYGIEALRRFGVIKGSWLTVKRVLKCHPLHPGGDDPVPPGPFDTREH