Q1LTW0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiae5bfuje4olbtmcgrscmw3hf6j4aev47iebasp6l47j7zdpo3al4/metadata.json
IPFS of structure file: 
bafybeighvrkzfvfgf2eh7wryrpwpi4sw26ewl3sccvj2w6r4kqndpmknf4/AF-Q1LTW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B800d48d871ED865b4dc8330EC3e1EAD024B41F
First NFT owner address (bech32): 
genesis1nwqq6jxcw8kcvk6deqesaslpatgzfdql8uwrdc
Current NFT ID #532204 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532204
Accession (UniProt):
Q1LTW0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Baumannia cicadellinicola subsp. Homalodisca coagulata

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 Q1LTW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1LTW0|YIDD_BAUCH Putative membrane protein insertion efficiency factor OS=Baumannia cicadellinicola subsp. Homalodisca coagulata OX=374463 GN=BCI_0135 PE=3 SV=1 MASLLSPIIKLLSYVIRCYQLIISPLIKPHCRFLPTCSQYSITAIHRFGIFKGIWLTLIRILRCNPWSQGGEDQVPLNIFDKREY