Q0TLZ1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejolhb4gcucis6spzhnz2bxz5gaqipnejweotdkby3z6y7gt77su/metadata.json
IPFS of structure file: 
bafybeia6pzdrw3uyviiszly5iojfacrtzeeqrcimgbovd4uke6vfl4sz7e/AF-Q0TLZ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #532290 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532290
Accession (UniProt):
Q0TLZ1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM PERFRINGENS (STRAIN ATCC 13124 / DSM 756 / JCM 1290 / NCIMB 6125 / NCTC 8237 / TYPE A)

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 Q0TLZ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0TLZ1|YIDD_CLOP1 Putative membrane protein insertion efficiency factor OS=Clostridium perfringens (strain ATCC 13124 / DSM 756 / JCM 1290 / NCIMB 6125 / NCTC 8237 / Type A) OX=195103 GN=CPF_2995 PE=3 SV=1 MKKLFIVMIKFYRKYISPLKRPCCRFYPTCSQYALEAIQKYGAFKGGFMSIGRILRCNPFCKGGYDPVK