Q12HM7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxmaxotrkarbtisvx5sqz66gw22eagtadye3ipnucstiobfeoohy/metadata.json
IPFS of structure file: 
bafybeidwkubghk75f5ngweb5c6e73ayewdrmij3dn4hkguk6xomsr62pnq/AF-Q12HM7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7C5991B66CA84425AC947F3bE4428892A9f521dc
First NFT owner address (bech32): 
genesis103verdnv4pzztty50ua7gs5gj25l2gwu8q8f9d
Current NFT ID #532533 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532533
Accession (UniProt):
Q12HM7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA DENITRIFICANS (STRAIN OS217 / ATCC BAA-1090 / DSM 15013)

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 Q12HM7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12HM7|YIDD_SHEDO Putative membrane protein insertion efficiency factor OS=Shewanella denitrificans (strain OS217 / ATCC BAA-1090 / DSM 15013) OX=318161 GN=Sden_3776 PE=3 SV=1 MAQAQSPLQWLATTVIRGYQLFISPLMGPRCRFNPTCSHYAIEAIKLHGTAKGSWFALKRILRCHPLHPGGSDPVPPKNDRCNK