B3DUH7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpbtimlfdu4byjhu3a7fjomtft2kxynozbzivb3jh5kcumziy2yu/metadata.json
IPFS of structure file: 
bafybeibnfy75byafetmog3becbsn3mlmkk7dcu4rivxb2iehcqfi6sheg4/AF-B3DUH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #532415 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532415
Accession (UniProt):
B3DUH7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
METHYLACIDIPHILUM INFERNORUM (ISOLATE V4)

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 B3DUH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3DUH7|YIDD_METI4 Putative membrane protein insertion efficiency factor OS=Methylacidiphilum infernorum (isolate V4) OX=481448 GN=Minf_0925 PE=3 SV=1 MKKVVFFLLDFYRYGLSSFRQTLGMYGVCRYYPTCSQYCREAVQKHGIIHGLYLCLRRLMRCHPWGAAGWDPVPEKSNLGIKRTKKADHPLKKKVSLMRVMHLFFK