Q8FSU9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafaepjcno4gcyqjtgcmsoxreq2zj5flweq22dko35xq4livvgzia/metadata.json
IPFS of structure file: 
bafybeicqoqgdufdp7xs5ina7auaqx7i6oyigxajy5fqey4sijgvwpboky4/AF-Q8FSU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92b7E4ae1aE7F4858CE9cb138b6CAC478158eb6B
First NFT owner address (bech32): 
genesis1j2m7fts6ul6gtr8fevfckm9vg7q436mt9u874u
Current NFT ID #532294 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532294
Accession (UniProt):
Q8FSU9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium efficiens (strain DSM 44549 / YS-314 / AJ 12310 / JCM 11189 / NBRC 100395)

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 Q8FSU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8FSU9|YIDD_COREF Putative membrane protein insertion efficiency factor OS=Corynebacterium efficiens (strain DSM 44549 / YS-314 / AJ 12310 / JCM 11189 / NBRC 100395) OX=196164 GN=CE2945 PE=3 SV=1 MCEPISDDPQVIPQPKGPAAKALAGAVRFYQKYLSGLKMGSTCRFDPVCSTYALKSVSVHGAVKGTVLAAVRLAKCGPWHPGGFDPVPNPGYWSTETVR