Q2J4A0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicunet3j3tv2xvyrd7dp42uhuiwtg7pewxzq2kvzzzbofcbiy2saq/metadata.json
IPFS of structure file: 
bafybeidkbpd6alzl4zxjrvvs2sm6pbn6m2jtnk636t565ac5oyut32sxie/AF-Q2J4A0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #532342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532342
Accession (UniProt):
Q2J4A0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Frankia casuarinae (strain DSM 45818 / CECT 9043 / CcI3)

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 Q2J4A0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2J4A0|YIDD_FRACC Putative membrane protein insertion efficiency factor OS=Frankia casuarinae (strain DSM 45818 / CECT 9043 / CcI3) OX=106370 GN=Francci3_4546 PE=3 SV=2 MVWRRLPRVARNADGAVRGPLSWTFAGLVRLYRAGWSARNAGLCRFEPSCSAYALAAVRRHGGVRGGVLAVARLLRCQPLAAGGYDPVPGTDPGPGIVRRPRGATADPGGPPDGRSAGDPAVAVPPVHRHGPPSPSQGMRAEIVGSGRGPWV