A9KBT2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5nibcdgvvptpkxcz5zdkxopvhns4lg2scjvgkq5pehzlewkc7ey/metadata.json
IPFS of structure file: 
bafybeifzec25g4sm5rh4ncyzz4h54jis6u7itnysrfu3uu2rofi4snvkya/AF-A9KBT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a8CCfe42e026980760C0B967bbe59a752A3A2Fc
First NFT owner address (bech32): 
genesis1p2xvlepwqf5cqasvpwt8h0je5af28ghun40st9
Current NFT ID #532297 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532297
Accession (UniProt):
A9KBT2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Coxiella burnetii (strain Dugway 5J108-111)

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 A9KBT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9KBT2|YIDD_COXBN Putative membrane protein insertion efficiency factor OS=Coxiella burnetii (strain Dugway 5J108-111) OX=434922 GN=CBUD_0202 PE=3 SV=1 MYKQIVHAIGKAIQTLLLGLIKSYRYLISPVLMSSCRFYPSCSCYAETALKRFGVIKGSGLTVWRLLRCHPFHPGGVDFVPEKSNEMV