P45649 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid25rlj6rsgtiymmm32fegfgtriheb3yc7gthsv3vvmzdizvrpshu/metadata.json
IPFS of structure file: 
bafybeigavzxzojbmcd56rbgbrld7hlfmsnlq5avnpre4s6zhmcr2gotm54/AF-P45649-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE5B7848EfB6C059c218398aB45e0496Ebc72Dc08
First NFT owner address (bech32): 
genesis1ukmcfrhmdszecgvrnz45tczfd6789hqgj3kfu6
Current NFT ID #532299 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532299
Accession (UniProt):
P45649
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
COXIELLA BURNETII (STRAIN RSA 493 / NINE MILE PHASE I)

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 P45649 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P45649|YIDD_COXBU Putative membrane protein insertion efficiency factor OS=Coxiella burnetii (strain RSA 493 / Nine Mile phase I) OX=227377 GN=CBU_1919 PE=3 SV=1 MYKQIVHAIGKAIQTLLLGLIKSYRYLISPVLMSSCRFYPSCSCYAETALKRFGVIKGSGLTVWRLLRCHPFHPGGVDFVPEKSNEMV