Q3SFW8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4g3pukakfcqbsvkrgcwtx7uffnwk4dt77hyibtem4bzsibzwvky/metadata.json
IPFS of structure file: 
bafybeidfxjwq6slhgoeoedatibizvr3l3y27xtpgeghx2pk6yukyj5uo6q/AF-Q3SFW8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd640e0Ab714Ec43DD946c544144F9045dd7C9133
First NFT owner address (bech32): 
genesis16eqwp2m3fmzrmk2xc4zpgnusghwheyfnpquzm6
Current NFT ID #532632 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532632
Accession (UniProt):
Q3SFW8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Thiobacillus denitrificans (strain ATCC 25259)

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 Q3SFW8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3SFW8|YIDD_THIDA Putative membrane protein insertion efficiency factor OS=Thiobacillus denitrificans (strain ATCC 25259) OX=292415 GN=Tbd_2535 PE=3 SV=1 MNLAQKCLVGAIRVYQLALSPWLGRQCRYLPTCSEYGKEAIEKHGALKGSWLAAKRIGRCRPGCSHGYDPVPPVDPRK