Q16A98 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigg5bu56gm7qjcjfrwssfahqps4jv2srzuchophy4ygvxg5qf7yxa/metadata.json
IPFS of structure file: 
bafybeiho3bjti4ksqzw3bgypcz2uzbxxnowf5l4r6m5bnfiriv7aeqkk2y/AF-Q16A98-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #532513 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532513
Accession (UniProt):
Q16A98
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
ROSEOBACTER DENITRIFICANS (STRAIN ATCC 33942 / OCH 114)

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 Q16A98 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q16A98|YIDD_ROSDO Putative membrane protein insertion efficiency factor OS=Roseobacter denitrificans (strain ATCC 33942 / OCh 114) OX=375451 GN=RD1_1458 PE=3 SV=1 MSPLAHLLALPVRAYRLIFSPWVGYNCRYQPTCSAYALEALQKHGGLIGAWLTLRRILRCHPWGKCGYDPVPERTRKP