Q9L7M0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmje5avyyx7icualk4tr3bs7hjsilt5yqod2awoxxahiipmm42vu/metadata.json
IPFS of structure file: 
bafybeiaahdp46g6kg6xumqj7r2rinyfag5doywzy47bcmal7yfmxjxypoy/AF-Q9L7M0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #532423 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532423
Accession (UniProt):
Q9L7M0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MYCOLICIBACTERIUM PARATUBERCULOSIS (STRAIN ATCC BAA-968 / K-10)

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 Q9L7M0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9L7M0|YIDD_MYCPA Putative membrane protein insertion efficiency factor OS=Mycolicibacterium paratuberculosis (strain ATCC BAA-968 / K-10) OX=262316 GN=MAP_4348c PE=3 SV=1 MTGPARSGAAIRGAGRTVARGLIFLIQLYRHMVSPLRPATCRFVPTCSQYAVDALDEYGLIRGSWLAAARLAKCGPWHQGGWDPIPERPGCRVNCQDASDAWAVRATRGESGSLV