B9DTS7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7rjjqvrmtbfy6odawhixdbtyy3orsutk4rfclcbymn5w7ste3cm/metadata.json
IPFS of structure file: 
bafybeid366hkdzz7rypd36kr4cpzbvknovvspg3x6c43hpqrfwplieyb5m/AF-B9DTS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #532602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532602
Accession (UniProt):
B9DTS7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Streptococcus uberis (strain ATCC BAA-854 / 0140J)

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 B9DTS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9DTS7|YIDD_STRU0 Putative membrane protein insertion efficiency factor OS=Streptococcus uberis (strain ATCC BAA-854 / 0140J) OX=218495 GN=SUB0408 PE=3 SV=1 MKSIIINFVRLYQKWISPLFPPSCRYRPTCSTYMIEAVEKHGIKGVLMGIARILRCHPFVEGGEDPVPDEFTLRRNPQKGKK