Q24M95 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5uz7dtrfwwwdlwqfxvjeslyzavitfb4gjwxhm5lnmsn7ruenk6e/metadata.json
IPFS of structure file: 
bafybeieqokx2egtz3orwfolv4ozr54uqmfowecxaambutci5dckinspjmm/AF-Q24M95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #532314 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532314
Accession (UniProt):
Q24M95
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Desulfitobacterium hafniense (strain Y51)

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 Q24M95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q24M95|YIDD_DESHY Putative membrane protein insertion efficiency factor OS=Desulfitobacterium hafniense (strain Y51) OX=138119 GN=DSY5058 PE=3 SV=1 MMKRLLIGMIRIYQRYISPLKRPSCRFYPTCSEYSIQAIQKYGVVKGCWKSLVRILKCHPFHPGGYDPV