Q2IY23 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqe3zk43mejlap37uoml5c5r6qggwnkwltc5bh6ykld5e4vzw4vu/metadata.json
IPFS of structure file: 
bafybeigdxmjkccmi4qqscx7pc4aruziorh7uyhpggfy64snlqa6cc6aga4/AF-Q2IY23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1a69708f6b83eF47B9dedd976F90a17160DB117a
First NFT owner address (bech32): 
genesis1rf5hprmts0h50ww7mktkly9pw9sdkyt6r4q2mr
Current NFT ID #532496 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532496
Accession (UniProt):
Q2IY23
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
RHODOPSEUDOMONAS PALUSTRIS (STRAIN HAA2)

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 Q2IY23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IY23|YIDD_RHOP2 Putative membrane protein insertion efficiency factor OS=Rhodopseudomonas palustris (strain HaA2) OX=316058 GN=RPB_2181 PE=3 SV=1 MHSRLPTHAADLLQALSRLPRNAGRGLIWVYRHSFSALVGSNCRHLPTCSQYGDEAIGRFGLWAGGWMTLARLIRCNPYGTSGIDNVPETPPPGARWYLPWRYARWRGVNGPDCGCGHHDE