Q0ICH4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwzzxgsotb4crxim6h3taxmltot5rvuqsc6s2tdtzpzpx4wyhzum/metadata.json
IPFS of structure file: 
bafybeidksd6kxz7zqrgeoyr34yijtrz6p5azj5juaqre2vxk4feoi5vg54/AF-Q0ICH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e895A1a8D7560696D9cFcD49106Af960473ced6
First NFT owner address (bech32): 
genesis1t6y45x5dw4sxjmvuln2fzp40jcz88nkk0uhglx
Current NFT ID #532615 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532615
Accession (UniProt):
Q0ICH4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCOCCUS SP. (STRAIN CC9311)

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 Q0ICH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0ICH4|YIDD_SYNS3 Putative membrane protein insertion efficiency factor OS=Synechococcus sp. (strain CC9311) OX=64471 GN=sync_0630 PE=3 SV=1 MHESTILSAGSTNPFNRIVSAVMLALIELYRRWISPLIGPRCRFIPTCSAYGIEAIQRHGPWRGGWLTLRRLLRCHPFTPCGCDPVPD