Q477Q3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej7sovkdvmawbxpr3ufhhlkqoxdekaebrqmrs7vfm43i7ehg5rsy/metadata.json
IPFS of structure file: 
bafybeia4keaojjtpzcwlryzlr5l5o33sfz3yr3ttiw3i34ayheqomwitfy/AF-Q477Q3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7b996410Da79507A3D80841daE0455C84DAf7E51
First NFT owner address (bech32): 
genesis10wvkgyx609g850vqssw6upz4epx67lj3eh845m
Current NFT ID #532307 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532307
Accession (UniProt):
Q477Q3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Dechloromonas aromatica (strain RCB)

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 Q477Q3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q477Q3|YIDD_DECAR Putative membrane protein insertion efficiency factor OS=Dechloromonas aromatica (strain RCB) OX=159087 GN=Daro_4202 PE=3 SV=1 MKYLLIALVRGYQYAISPFLGRSCRYVPTCSEYMVDAVQKHGAFRGGWLGVKRVCRCHPWHPGGYDPVP