Q0AE57 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiep3aoo7bpdqfkccpklbfpdp3d7abzzhemtqq62lemtn6xfqn5yyy/metadata.json
IPFS of structure file: 
bafybeidwxpzg4nhqxbiyh6swk2u5lp2qem7aeqblql5ekvud5v7gh4asry/AF-Q0AE57-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #532434 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532434
Accession (UniProt):
Q0AE57
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Nitrosomonas eutropha (strain DSM 101675 / C91 / Nm57)

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 Q0AE57 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0AE57|YIDD_NITEC Putative membrane protein insertion efficiency factor OS=Nitrosomonas eutropha (strain DSM 101675 / C91 / Nm57) OX=335283 GN=Neut_2153 PE=3 SV=1 MKQLIIGLIKLYQYSIGLLIPPSCRFYPTCSNYMREALTKHGLIKGLWLGTRRILRCHPWNPGGYDPIP