B8EDW6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidjxbt5dtnjfycwokxmvnfgxszjjyxo6cwdn7kjhlxs2oaddvwe4y/metadata.json
IPFS of structure file: 
bafybeigt2k5dum5msuacech4aip3jl2l7dv6b3nbpbgtfsmu7abc2m7dty/AF-B8EDW6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #532529 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532529
Accession (UniProt):
B8EDW6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella baltica (strain OS223)

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 B8EDW6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8EDW6|YIDD_SHEB2 Putative membrane protein insertion efficiency factor OS=Shewanella baltica (strain OS223) OX=407976 GN=Sbal223_4326 PE=3 SV=1 MAQTQSPLQWLATTLIRGYQVFISPILGPRCRFNPTCSHYAIEAIKVHGTAKGCWFALKRILKCHPLHPGGSDPVPPKNDRCNK