Q05866 AF NFT

Endoplasmic reticulum chaperone BiP

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabvlsmzt2z2eg26lm2egthqripla43o74kq6ce5nxk3vvj2fg7hm/metadata.json
IPFS of structure file: 
bafybeig3v4n4psfioos6hx2h3d7f6h7xxqhwcabyfaee42ntifn6dejfku/AF-Q05866-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f96D50e14f9eaeAF65823ed48bcc8D6eF4fE559
First NFT owner address (bech32): 
genesis1t7td2rs5l84w4ajcy0k530xg6mh5le2eye5nnn
Current NFT ID #44714 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
44714
Accession (UniProt):
Q05866
Name::
Endoplasmic reticulum chaperone BiP
Experimental Method:
Predicted structure
Sequence source:
PLASMODIUM FALCIPARUM (ISOLATE NF54)

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 Q05866 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q05866|BIP_PLAFO Endoplasmic reticulum chaperone BiP OS=Plasmodium falciparum (isolate NF54) OX=5843 PE=3 SV=1 MNQIRPYILLLIVSLLKFISAVDSNIEGPVIGIDLGTTYSCVGVFKNGRVEILNNELGNRITPSYVSFVDGERKVGEAAKLEATVHPTQTVFDVKRLIGRKFDDQEVVKDRSLLPYEIVNNQGKPNIKVQIKDKDTTFAPEQISAMVLEKMKEIAQSFLGKPVKNAVVTVPAYFNDAQRQATKDAGTIAGLNIVRIIINQPTAAALAYALDKKEETSILVYDLGGGTFDVSILVIDNGVFEVYATAGNTHLGGEDFDQRVMDYFIKMFKKKNNIDLRTDKRAIQKLRKEVEIAKRNLSVVHSTQIEIEDIVEGHNFSETLTRAKFEELNDDLFRETLEPVKKVLDDAKYEKSKIDEIVLVGGSTRIPKIQQIIKEFEFFNGKEPNRGINPDEAVAYGAAIQAGIILGEELQDVVLLDVTPLTLGIETVGGIMTQLIKRNTVIPTKKSQTFSTYQDNQPAVLIQVFEGERALTKDNHLLGKFELSGIPPAQRGVPKIEVTFTVDKNGILHVEAEDKGTGKSRGITITNDKGRLSKEQIEKMINDAEKFADEDKNLREKVEAKNKLDNYIQSMKATVEDKDKLADKIEKEDKNTILSAVKDAEDWLNNNSNADSEALKQKLKDLEAVCQPIIVKLYGQPGGPSPQPSGDEDVDSDEL