Q3KLM5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6cja3zf45qfswybrut2cnm2iaa6ltc5pnmyk5p4kqo2uffljt6m/metadata.json
IPFS of structure file: 
bafybeid2iwnkqwtbglhh6ui254l5qi2xquxjnzoqpeldn524fgvmojlri4/AF-Q3KLM5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #532270 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532270
Accession (UniProt):
Q3KLM5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Chlamydia trachomatis serovar A (strain ATCC VR-571B / DSM 19440 / HAR-13)

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 Q3KLM5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3KLM5|YIDD_CHLTA Putative membrane protein insertion efficiency factor OS=Chlamydia trachomatis serovar A (strain ATCC VR-571B / DSM 19440 / HAR-13) OX=315277 GN=CTA_0519 PE=3 SV=1 MQTSRISSFFRGLVHLYRWAISPFLGAPCRFFPTCSEYALVALKKHPLRKSLFLIAKRLLKCGPWCIGGIDLVPRTSVEEYLSSPTPLAESPDDRTVPHTQETS