Q0SAH0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibko7zhc4mmrhesmlzustrk3363gaadeaujctylrx6emzilcsqn6e/metadata.json
IPFS of structure file: 
bafybeigy3zxg4omz26cm7bkhc42pdz4soz6w5olofxqdoon7djyyjluc5i/AF-Q0SAH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #532494 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532494
Accession (UniProt):
Q0SAH0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
RHODOCOCCUS JOSTII (STRAIN RHA1)

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 Q0SAH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SAH0|YIDD_RHOJR Putative membrane protein insertion efficiency factor OS=Rhodococcus jostii (strain RHA1) OX=101510 GN=RHA1_ro03663 PE=3 SV=1 MKSALHESRADTAEATSSASSAWKSVRALPARTLIFFIELYRTYVSPLRMPTCRFMPTCSEYAVESLRTHGVIKGLFLTVVRLAKCAPWHPGGWDPVPARRDRHAGGRRCCPANVDEQRST