Q1IY23 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3txdujscpst5jcaei7wdkbkyvebndjiicvc3yp2gz47cm3m27pq/metadata.json
IPFS of structure file: 
bafybeihk6hwmjkzohx662vsdc2aikbtlghgvczidgette5ql4pytyetri4/AF-Q1IY23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #532309 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532309
Accession (UniProt):
Q1IY23
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Deinococcus geothermalis (strain DSM 11300 / AG-3a)

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 Q1IY23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1IY23|YIDD_DEIGD Putative membrane protein insertion efficiency factor OS=Deinococcus geothermalis (strain DSM 11300 / AG-3a) OX=319795 GN=Dgeo_1566 PE=3 SV=1 MSAAARGLVRLVKSYQRHLSPRKPAPTCRFTPTCSQYAVEAIERHGALKGAWLAAWRVLRCNPLVPGGCDPVPEHFPSWRGPHPKTPSRKTPE