Q3K427 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgyzoq757vbpmlvnoofqyi6x2pkcxhfnq7b3x7oebfbgezumyp74/metadata.json
IPFS of structure file: 
bafybeianu32zfkblf2msye76euc27i63u7b4okdspbxsnz62fkfpsym4xa/AF-Q3K427-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #532479 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532479
Accession (UniProt):
Q3K427
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS FLUORESCENS (STRAIN PF0-1)

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 Q3K427 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3K427|YIDD_PSEPF Putative membrane protein insertion efficiency factor OS=Pseudomonas fluorescens (strain Pf0-1) OX=205922 GN=Pfl01_5744 PE=3 SV=1 MRKLALVPIRFYRYAISPLMASHCRFYPSCSCYAYEAIENHGLLRGGWLTFRRLGRCHPWNPGGYDPVPPIPTSRSSSMAE