NPASS Compound

Natural Product: NPC5115

Natural Product ID	NPC5115
Common Name ? The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.	Lactiflorin
IUPAC Name	n.a.
Synonyms	Lactiflorin
Synthetic Gene Cluster	n.a.
ChEMBL Identifier	CHEMBL1078658
PubChem CID	5318917
Chemical Classification	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0000259] Prenol lipids [CHEMONTID:0001283] Terpene lactones

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

Chemical Representations

RDKit 3D 59 64 0 0 0 0 0 0 0 0999 V2000 1.3698 -4.0756 1.0444 C 0 0 0 0 0 0 0 0 0 0 0 0 0.5982 -2.8008 0.9515 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.8806 -2.9876 1.0061 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.5493 -1.6426 0.7931 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.7828 -0.9464 -0.2916 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.1859 -1.9281 -1.2645 C 0 0 0 0 0 0 0 0 0 0 0 0 0.9921 -1.9878 -0.2749 C 0 0 0 0 0 0 0 0 0 0 0 0 0.6571 -0.6150 0.1378 C 0 0 0 0 0 0 0 0 0 0 0 0 1.1075 0.5800 -0.5924 C 0 0 0 0 0 0 0 0 0 0 0 0 2.3571 1.1092 -0.3601 O 0 0 0 0 0 0 0 0 0 0 0 0 3.6097 0.6663 -0.5332 C 0 0 0 0 0 0 0 0 0 0 0 0 3.7735 -0.4768 -1.0172 O 0 0 0 0 0 0 0 0 0 0 0 0 4.7983 1.4755 -0.1747 C 0 0 0 0 0 0 0 0 0 0 0 0 4.7020 2.7375 0.3608 C 0 0 0 0 0 0 0 0 0 0 0 0 5.8298 3.4838 0.6918 C 0 0 0 0 0 0 0 0 0 0 0 0 7.0883 2.9499 0.4800 C 0 0 0 0 0 0 0 0 0 0 0 0 7.1907 1.6829 -0.0575 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0554 0.9576 -0.3796 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8368 -0.6105 1.6070 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8319 0.4340 2.3073 O 0 0 0 0 0 0 0 0 0 0 0 0 0.9992 -1.9342 1.9947 O 0 0 0 0 0 0 0 0 0 0 0 0 -1.4131 0.1411 -0.8233 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.6407 -0.2604 -1.3287 C 0 0 2 0 0 0 0 0 0 0 0 0 -3.3251 0.9662 -1.8904 C 0 0 2 0 0 0 0 0 0 0 0 0 -3.4510 1.9746 -0.7993 C 0 0 1 0 0 0 0 0 0 0 0 0 -3.9461 1.4376 0.5008 C 0 0 1 0 0 0 0 0 0 0 0 0 -5.4580 1.4707 0.4791 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.9983 1.1682 1.7282 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.4326 0.2218 0.8531 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.4659 -0.7313 -0.1401 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.8274 -1.8705 0.3485 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.1873 2.5449 -0.5819 O 0 0 0 0 0 0 0 0 0 0 0 0 -4.5378 0.6637 -2.5021 O 0 0 0 0 0 0 0 0 0 0 0 0 1.2250 -4.7334 0.1716 H 0 0 0 0 0 0 0 0 0 0 0 0 1.1833 -4.5552 2.0048 H 0 0 0 0 0 0 0 0 0 0 0 0 2.4608 -3.8007 1.0336 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.1352 -3.3152 2.0526 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.2416 -3.7709 0.3401 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.5684 -1.1212 1.7496 H 0 0 0 0 0 0 0 0 0 0 0 0 0.1595 -1.3997 -2.1715 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.7089 -2.8721 -1.4104 H 0 0 0 0 0 0 0 0 0 0 0 0 1.9302 -2.2616 -0.7266 H 0 0 0 0 0 0 0 0 0 0 0 0 1.0557 0.4120 -1.7260 H 0 0 0 0 0 0 0 0 0 0 0 0 0.2957 1.3716 -0.4671 H 0 0 0 0 0 0 0 0 0 0 0 0 3.7155 3.1459 0.5225 H 0 0 0 0 0 0 0 0 0 0 0 0 5.7452 4.4809 1.1147 H 0 0 0 0 0 0 0 0 0 0 0 0 7.9621 3.5422 0.7424 H 0 0 0 0 0 0 0 0 0 0 0 0 8.1502 1.2219 -0.2419 H 0 0 0 0 0 0 0 0 0 0 0 0 6.1248 -0.0449 -0.8051 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.5375 -1.0612 -2.0875 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.6109 1.3893 -2.6519 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.1357 2.7891 -1.1209 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.6398 2.1713 1.3024 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.7957 2.4990 0.2350 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.8492 0.8129 -0.3246 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.3318 0.2187 1.6624 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.4819 -1.0416 -0.4396 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.8693 2.3878 0.3441 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.8174 -0.2628 -2.4017 H 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 2 3 1 0 3 4 1 0 4 5 1 0 5 6 1 0 6 7 1 0 7 8 1 0 8 9 1 0 9 10 1 0 10 11 1 0 11 12 2 0 11 13 1 0 13 14 2 0 14 15 1 0 15 16 2 0 16 17 1 0 17 18 2 0 8 19 1 0 19 20 2 0 19 21 1 0 5 22 1 0 22 23 1 0 23 24 1 0 24 25 1 0 25 26 1 0 26 27 1 0 27 28 1 0 26 29 1 0 29 30 1 0 30 31 1 0 25 32 1 0 24 33 1 0 7 2 1 0 18 13 1 0 30 23 1 0 21 2 1 0 31 4 1 0 8 5 1 0 1 34 1 0 1 35 1 0 1 36 1 0 3 37 1 0 3 38 1 0 4 39 1 0 6 40 1 0 6 41 1 0 7 42 1 0 9 43 1 0 9 44 1 0 14 45 1 0 15 46 1 0 16 47 1 0 17 48 1 0 18 49 1 0 23 50 1 6 24 51 1 6 25 52 1 6 26 53 1 1 27 54 1 0 27 55 1 0 28 56 1 0 30 57 1 0 32 58 1 0 33 59 1 0 M END

Standard InCHIKey	KEMSOUIGHYEWRY-PDQVMUKXSA-N
Standard InCHI	InChI=1S/C23H26O10/c1-21-8-14-23(32-17-16(26)15(25)12(9-24)30-19(17)31-14)7-13(21)22(23,20(28)33-21)10-29-18(27)11-5-3-2-4-6-11/h2-6,12-17,19,24-26H,7-10H2,1H3/t12-,13?,14?,15-,16+,17-,19?,21?,22?,23?/m1/s1
SMILES	CC12CC3C4(CC1C4(COC(=O)c1ccccc1)C(=O)O2)O[C@@H]1[C@H]([C@@H]([C@@H](CO)OC1O3)O)O

Calculated Properties

Physi-Chem Properties

Molecular Weight:	462.15	Volume:	429.745 ? Van der Waals volume.
Dense:	1.075	LogP:	0.505 ? The logarithm of the n-octanol/water distribution coefficients.
logD7.4:	1.134 ? The logarithm of the n-octanol/water distribution coefficient at pH=7.4.	LogS:	-2.345 ? The logarithm of aqueous solubility value.
Rotatable Bonds:	5.0	Rigid Bonds:	29.0
TPSA:	140.98 ? Topological Polar Surface Area.	H-Bond Acceptor:	10.0
H-Bond Donor:	3.0	Rings:	7.0
Heavy Atoms:	10.0

MedChem Properties

QED Drug-Likeness Score:	0.503	GASA:	1.0 ? GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:	6.441	Fsp³:	0.652
MCE-18:	171.368 ? MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.	Lipinski Rule-of-5:	Rejected
Pfizer Rule:	Rejected	GSK Rule:	Accepted
Golden Triangle Rule:	Rejected	BMS Rule:	0
Chelating Alert:	0	PAINS Alert:	0
Colloidal aggregators:	0.423	Fluc inhibitor:	0.008 ? The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:	0.024 ? The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1	Green fluorescence:	0.12 ? The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:	0.134	Promiscuous compounds:	0.003

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:	-5.621	MDCK Permeability:	-4.954
Pgp-inhibitor:	0.051	Pgp-substrate:	0.012
PAMPA:	0.932 ? The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).	Human Intestinal Absorption (HIA):	0.02
20% Bioavailability (F20%):	0.017	30% Bioavailability (F30%):	0.385
50% Bioavailability (F50%):	0.774

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.08	MRP1:	0.945
Plasma Protein Binding (PPB):	60.664%	Volume Distribution (VD):	-0.678
Fu:	45.372% ? The fraction unbound in plasms.	OATP1B1 inhibitor:	0.971
OATP1B3 inhibitor:	0.995	BCRP inhibitor:	0.001
BSEP inhibitor:	0.755

ADMET: Metabolism

CYP1A2-inhibitor:	0.0	CYP1A2-substrate:	0.0
CYP2C19-inhibitor:	0.138	CYP2C19-substrate:	0.029
CYP2C9-inhibitor:	0.004	CYP2C9-substrate:	0.0
CYP2D6-inhibitor:	0.0	CYP2D6-substrate:	0.007
CYP3A4-inhibitor:	0.018	CYP3A4-substrate:	0.001
CYP2B6-substrate:	0.0	CYP2C8-inhibitor:	0.999
HLM stability:	0.861 ? Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):

2.433

Half-life (T1/2):

1.865

ADMET: Toxicity

hERG Blockers:	0.074	hERG Blockers (10um):	0.233
Human Hepatotoxicity (H-HT):	0.303	Drug-induced Liver Injury (DILI):	0.793
AMES Toxicity:	0.771	Rat Oral Acute Toxicity:	0.057
Maximum Recommended Daily Dose:	0.272	Skin Sensitization:	0.985
Carcinogencity:	0.467	Eye Corrosion:	0.0
Eye Irritation:	0.011	Respiratory Toxicity:	0.019
Drug-induced Neurotoxicity:	0.33	Ototoxicity:	0.853
Hematotoxicity:	0.043	Drug-induced Nephrotoxicity:	0.58
Genotoxicity:	0.818	RPMI-8226 Immunitoxicity:	0.17
A549 Cytotoxicity:	0.116	Hek293 Cytotoxicity:	0.305
BCF:	0.548 ? Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].	IGC50:	3.353 ? 48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:	5.093 ? 48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].	LC50FM:	4.264 ? 96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

Species Source

Organism ID	Organism Name	Taxonomy Level	Family	SuperKingdom	Isolation Part	Collection Location	Collection Time	Reference
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	Shanxi province, China		DOI[10.1016/j.foodres.2020.109416]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	Anhui province, China		DOI[10.1016/j.foodres.2020.109416]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	Shandong province, China		DOI[10.1016/j.foodres.2020.109416]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	Henan province, China		DOI[10.1016/j.foodres.2020.109416]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	Gansu province, China		DOI[10.1016/j.foodres.2020.109416]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	DOI[10.2174/092986712800229032]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[19402674]
NPO30226	Paeonia albiflora	Species	Paeoniaceae	Eukaryota	roots	n.a.	n.a.	PMID[19691309]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[19721258]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[19772486]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Roots	n.a.	n.a.	PMID[20806783]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[21782011]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[22190295]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	seed	n.a.	PMID[23497864]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[26838074]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[27313650]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	root	n.a.	PMID[27429639]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Roots	n.a.	n.a.	PMID[29741372]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	HeZe, ShanDong, China	early autumn (from August to the beginning of September	PMID[32545196]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Roots	n.a.	n.a.	PMID[32951423]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	Seeds	Xinjiang,China		PMID[33063333]
NPO8681	Artemisia lactiflora	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO30226	Paeonia albiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO24267	Paeonia veitchii	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO21458	Radix paeoniae rubra	Species	Lymnaeidae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO8681	Artemisia lactiflora	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO24267	Paeonia veitchii	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO30226	Paeonia albiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO23476	Paeonia lactiflora wild	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO8681	Artemisia lactiflora	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO24267	Paeonia veitchii	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO21458	Radix paeoniae rubra	Species	Lymnaeidae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO24267	Paeonia veitchii	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO30226	Paeonia albiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO24267	Paeonia veitchii	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO9798	Paeonia lactiflora	Species	Paeoniaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO8681	Artemisia lactiflora	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
☉ UNPD: Universal Natural Products Database [PMID: 23638153].
☉ StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
☉ TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
☉ TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
☉ TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
☉ TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
☉ HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
☉ MetaboLights: a metabolomics database [PMID: 27010336].
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

NP Quantity Composition/Concentration

Organism ID	Organism Name	Organism Material Preparation	Organism Part	NP Quantity (Standard)	NP Quantity (Minimum)	NP Quantity (Maximum)	Quantity Unit	Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
☉ DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
☉ PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

Biological Activity

Activity Type	# Activity
Inhibition	4
IC50	1

Activity Type	# Activity
Cell line	5

Molecular-level activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference

In vitro activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference
NPT848	Cell line	N9	Homo sapiens	Inhibition	=	89.4	%	PMID[19691309]
NPT848	Cell line	N9	Homo sapiens	Inhibition	=	91.5	%	PMID[19691309]
NPT848	Cell line	N9	Homo sapiens	Inhibition	=	86.7	%	PMID[19691309]
NPT848	Cell line	N9	Homo sapiens	Inhibition	=	81.2	%	PMID[19691309]
NPT848	Cell line	N9	Homo sapiens	IC50	>	100000.0	nM	PMID[19691309]

In vivo activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference

Experimental ADME

Experiment Model	Experiment Tissue	ADME Type	ADME Relation	ADME Value	ADME Unit	Reference

Experimental Toxicity

Quantitative toxicity

Experiment Model	Experiment Organism	Toxicity Type	Toxicity Relation	Toxicity Value	Toxicity Unit	Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity	Carcinogenicity	Mutagenicity	Cardiotoxicity	Respiratory Toxicity	Eye Irritation	Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
☉ ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
☉ TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]

Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

● The left chart: Distribution of similarity level between NPC5115 and all remaining natural products in the NPASS database.
● The right table: Most similar natural products (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	11180
0.1-0.2	34830
0.2-0.3	3677
0.3-0.4	163
0.4-0.5	6
0.5-0.6	2
0.6-0.7	0
0.7-0.8	0
0.8-0.85	0
0.85-0.9	0
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Natural Product ID
0.5116	Remote Similarity	NPC133430
0.5114	Remote Similarity	NPC469477

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

● The left chart: Distribution of similarity level between NPC5115 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	3488
0.1-0.2	5518
0.2-0.3	144
0.3-0.4	0
0.4-0.5	0
0.5-0.6	0
0.6-0.7	0
0.7-0.8	0
0.8-0.85	0
0.85-0.9	0
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Drug ID	Developmental Stage
		NPD

Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
☉ A: chemistry similarity;
☉ B: biological targets similarity;
☉ C: networks similarity;
☉ D: cell-based bioactivity similarity;
☉ E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity

B: biological targets similarity

C: networks similarity

D: cell-based bioactivity similarity

E: similarity based on clinical data