Q39PQ7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamw66smpr56mtuivbd273225jq75leesvpi43dlsxexc4x6hbvhi/metadata.json
IPFS of structure file: 
bafybeidfm7alokj4buucqk6bnqm7tjdf6f53l4whcjkxqktjehtbywmxny/AF-Q39PQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #532349 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532349
Accession (UniProt):
Q39PQ7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Geobacter metallireducens (strain ATCC 53774 / DSM 7210 / GS-15)

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 Q39PQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39PQ7|YIDD_GEOMG Putative membrane protein insertion efficiency factor OS=Geobacter metallireducens (strain ATCC 53774 / DSM 7210 / GS-15) OX=269799 GN=Gmet_3562 PE=3 SV=1 MLKILIKIIGIYQRYLSPLTGPTCRFYPSCSTYAKESLMRHGLLKGLWYSAVRIMKCHPYHPGGYDPVK