B8IKC5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiex6wrhs72zrwgiz5bk3j6cmzftkjx3nb6vbcebfr7synoewwum7m/metadata.json
IPFS of structure file: 
bafybeihwddw4eoobfjxclf4sjcoqlolagbos6usfwvc2ojag6ldljmmv7y/AF-B8IKC5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00f48420072d220CAe17e7bEf8eCf4C6dbFcAcfF
First NFT owner address (bech32): 
genesis1qr6gggq8953qetshu7l03m85cmdlet8l55ufu7
Current NFT ID #532416 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532416
Accession (UniProt):
B8IKC5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Methylobacterium nodulans (strain LMG 21967 / CNCM I-2342 / ORS 2060)

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 B8IKC5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8IKC5|YIDD_METNO Putative membrane protein insertion efficiency factor OS=Methylobacterium nodulans (strain LMG 21967 / CNCM I-2342 / ORS 2060) OX=460265 GN=Mnod_7170 PE=3 SV=1 MSLPRRAAHVAIRGYQLTLSGLVGRQCRHWPSCSAYTDEAIERHGLWAGGWMGLARICRCGPFGTHGIDLVPERLPEGAAWHRPWAYGRWRGVNAPATPLAEEVHDPLPGP