Q6F6K9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxh5tprsaftavtrdiy4ilcodbxg6nsha5lryegwz4qeeiatno5ye/metadata.json
IPFS of structure file: 
bafybeiduuqshzb2zrnb7grwtjte4go3f7xlx4kbh7jx3w4fksieucgcdgy/AF-Q6F6K9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42fB943ABB54FcE752274CE38bcF736f69B067D1
First NFT owner address (bech32): 
genesis1gtaegw4m2n7ww538fn3chnmnda5mqe73g0kuj9
Current NFT ID #532151 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532151
Accession (UniProt):
Q6F6K9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
ACINETOBACTER BAYLYI (STRAIN ATCC 33305 / BD413 / ADP1)

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 Q6F6K9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6F6K9|YIDD_ACIAD Putative membrane protein insertion efficiency factor OS=Acinetobacter baylyi (strain ATCC 33305 / BD413 / ADP1) OX=62977 GN=ACIAD3682 PE=3 SV=1 MVRILHWLIRFYQIAISPMLGPRCRYIPTCSQYSLEAIHTHGAMKGTWLAIHRVCRCHPWGGSGYDPVPPKAIRFISFQQIDSQMLHVTVPFRERLLNLNHSNHLG