Q57D63 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeids3njwf7zacf5dstlnchtu4i5noygzcm7drkcmduy7bauf77bequ/metadata.json
IPFS of structure file: 
bafybeiairvvcgzqdm77qmwjte7kgjpshplauyl7krrcre6aste6ajl42vu/AF-Q57D63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x48734255eb40Edf4501F66e3AEeEad0C0c202E64
First NFT owner address (bech32): 
genesis1fpe5y40tgrklg5qlvm36am4dpsxzqtnyttxvlv
Current NFT ID #532218 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532218
Accession (UniProt):
Q57D63
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA ABORTUS BIOVAR 1 (STRAIN 9-941)

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 Q57D63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57D63|YIDD_BRUAB Putative membrane protein insertion efficiency factor OS=Brucella abortus biovar 1 (strain 9-941) OX=262698 GN=BruAb1_1078 PE=3 SV=1 MGSCGGKHTGKGAPKPYSRNFTDPWRKTPGRLFGTALIRFYQITLSSLIGNSCRHLPTCSEYAYEAIARHGLWRGGWMGFFRVVRCGPFGTHGFDPVPRELSPDLKWYMPWRYWRCSASRIGK