NPASS Compound

Natural Product: NPC265082

Natural Product ID	NPC265082
Common Name ? The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.	GUIYORVNNIUEBH-LJHARGAWSA-N
IUPAC Name	n.a.
Synonyms
Synthetic Gene Cluster	n.a.
ChEMBL Identifier	n.a.
PubChem CID	21140842
Chemical Classification	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0000258] Steroids and steroid derivatives [CHEMONTID:0001125] Steroid 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 65 69 0 0 0 0 0 0 0 0999 V2000 -4.6672 -0.5697 -1.9419 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.5880 -1.0669 -0.9420 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.9847 -2.2466 -1.6055 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.7176 0.1215 -0.6961 C 0 0 2 0 0 0 0 0 0 0 0 0 -2.1366 0.5300 -2.0298 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.7845 1.0974 -1.9155 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.5078 2.1424 -2.4289 O 0 0 0 0 0 0 0 0 0 0 0 0 0.2037 0.3322 -1.1501 C 0 0 2 0 0 0 0 0 0 0 0 0 0.4655 -0.9685 -1.8763 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.3303 0.1624 0.2325 C 0 0 2 0 0 0 0 0 0 0 0 0 0.4754 -0.9461 0.9045 C 0 0 0 0 0 0 0 0 0 0 0 0 1.9397 -0.8591 0.5992 C 0 0 0 0 0 0 0 0 0 0 0 0 2.4124 0.4183 0.0064 C 0 0 1 0 0 0 0 0 0 0 0 0 2.6212 1.4231 1.1457 C 0 0 0 0 0 0 0 0 0 0 0 0 3.7839 0.1769 -0.6045 C 0 0 2 0 0 0 0 0 0 0 0 0 4.6317 -0.7519 0.1104 C 0 0 0 0 0 0 0 0 0 0 0 0 5.3788 -0.5038 1.2317 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0293 -1.6963 1.5643 C 0 0 0 0 0 0 0 0 0 0 0 0 5.6838 -2.5974 0.6860 O 0 0 0 0 0 0 0 0 0 0 0 0 4.8444 -2.0762 -0.2083 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3302 1.4784 -0.7982 O 0 0 0 0 0 0 0 0 0 0 0 0 3.4142 2.5006 -1.0981 C 0 0 0 0 0 0 0 0 0 0 0 0 3.7331 3.6995 -0.8949 O 0 0 0 0 0 0 0 0 0 0 0 0 2.0656 2.1203 -1.6594 C 0 0 2 0 0 0 0 0 0 0 0 0 1.5492 1.0112 -1.0756 C 0 0 2 0 0 0 0 0 0 0 0 0 2.1289 0.9767 -2.4434 O 0 0 0 0 0 0 0 0 0 0 0 0 -1.7894 0.1100 0.4524 C 0 0 2 0 0 0 0 0 0 0 0 0 -2.2062 -1.0151 1.4239 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.1325 1.3261 1.3074 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.3594 1.5861 1.6814 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.7169 2.7404 2.4982 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.8161 3.5295 2.8669 O 0 0 0 0 0 0 0 0 0 0 0 0 -5.0161 3.0006 2.8842 O 0 0 0 0 0 1 0 0 0 0 0 0 -4.3497 -1.4846 0.1410 O 0 0 0 0 0 0 0 0 0 0 0 0 -4.2936 -0.7180 -2.9859 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.9465 0.4695 -1.7239 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.5768 -1.1941 -1.8604 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.9376 -2.4783 -1.3440 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.9976 -2.1969 -2.7356 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.6534 -3.1394 -1.4034 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.5018 0.9376 -0.5243 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.1527 -0.3524 -2.7387 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.7609 1.2789 -2.5817 H 0 0 0 0 0 0 0 0 0 0 0 0 1.4448 -0.9836 -2.4213 H 0 0 0 0 0 0 0 0 0 0 0 0 0.3363 -1.8651 -1.2421 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.2780 -1.1082 -2.7106 H 0 0 0 0 0 0 0 0 0 0 0 0 0.0843 1.0698 0.7859 H 0 0 0 0 0 0 0 0 0 0 0 0 0.0292 -1.9385 0.7637 H 0 0 0 0 0 0 0 0 0 0 0 0 0.4227 -0.7601 2.0233 H 0 0 0 0 0 0 0 0 0 0 0 0 2.5706 -0.9635 1.5457 H 0 0 0 0 0 0 0 0 0 0 0 0 2.3167 -1.7642 0.0287 H 0 0 0 0 0 0 0 0 0 0 0 0 2.3480 0.9831 2.1265 H 0 0 0 0 0 0 0 0 0 0 0 0 3.6720 1.7560 1.2267 H 0 0 0 0 0 0 0 0 0 0 0 0 2.0534 2.3802 0.9475 H 0 0 0 0 0 0 0 0 0 0 0 0 3.5567 -0.1721 -1.6634 H 0 0 0 0 0 0 0 0 0 0 0 0 5.5103 0.3992 1.8186 H 0 0 0 0 0 0 0 0 0 0 0 0 6.6891 -1.8200 2.3981 H 0 0 0 0 0 0 0 0 0 0 0 0 4.4498 -2.6780 -1.0159 H 0 0 0 0 0 0 0 0 0 0 0 0 1.6049 2.9756 -2.2053 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.1655 -0.7340 1.9577 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.2291 -1.9946 0.9660 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.5068 -1.0851 2.2901 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.3626 2.0208 1.6359 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.1530 0.9298 1.3821 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.1613 -0.9559 0.2850 H 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 2 3 1 0 2 4 1 0 4 5 1 0 5 6 1 0 6 7 2 0 6 8 1 0 8 9 1 6 8 10 1 0 10 11 1 0 11 12 1 0 12 13 1 0 13 14 1 1 13 15 1 0 15 16 1 0 16 17 1 0 17 18 2 0 18 19 1 0 19 20 1 0 15 21 1 0 21 22 1 0 22 23 2 0 22 24 1 0 24 25 1 0 25 26 1 6 10 27 1 0 27 28 1 1 27 29 1 0 29 30 2 0 30 31 1 0 31 32 2 0 31 33 1 0 2 34 1 0 27 4 1 0 25 8 1 0 25 13 1 0 20 16 2 0 26 24 1 0 1 35 1 0 1 36 1 0 1 37 1 0 3 38 1 0 3 39 1 0 3 40 1 0 4 41 1 1 5 42 1 0 5 43 1 0 9 44 1 0 9 45 1 0 9 46 1 0 10 47 1 1 11 48 1 0 11 49 1 0 12 50 1 0 12 51 1 0 14 52 1 0 14 53 1 0 14 54 1 0 15 55 1 6 17 56 1 0 18 57 1 0 20 58 1 0 24 59 1 6 28 60 1 0 28 61 1 0 28 62 1 0 29 63 1 0 30 64 1 0 34 65 1 0 M CHG 1 33 -1 M END

Standard InCHIKey	GUIYORVNNIUEBH-LJHARGAWSA-N
Standard InCHI	InChI=1S/C26H32O8/c1-22(2,31)16-12-17(27)25(5)15(23(16,3)9-7-18(28)29)6-10-24(4)19(14-8-11-32-13-14)33-21(30)20-26(24,25)34-20/h7-9,11,13,15-16,19-20,31H,6,10,12H2,1-5H3,(H,28,29)/p-1/b9-7+/t15-,16+,19+,20-,23-,24+,25+,26-/m1/s1
SMILES	CC(C)([C@@H]1CC(=O)[C@]2(C)[C@H](CC[C@@]3(C)[C@H](c4ccoc4)OC(=O)[C@@H]4[C@]23O4)[C@@]1(C)/C=C/C(=O)[O-])O

Calculated Properties

Physi-Chem Properties

Molecular Weight:	472.21	Volume:	469.973 ? Van der Waals volume.
Dense:	1.005	LogP:	1.362 ? The logarithm of the n-octanol/water distribution coefficients.
logD7.4:	1.63 ? The logarithm of the n-octanol/water distribution coefficient at pH=7.4.	LogS:	-2.66 ? The logarithm of aqueous solubility value.
Rotatable Bonds:	4.0	Rigid Bonds:	27.0
TPSA:	126.57 ? Topological Polar Surface Area.	H-Bond Acceptor:	8.0
H-Bond Donor:	2.0	Rings:	5.0
Heavy Atoms:	8.0

MedChem Properties

QED Drug-Likeness Score:	0.388	GASA:	1.0 ? GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:	5.65	Fsp³:	0.654
MCE-18:	171.442 ? 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:	0.172	Fluc inhibitor:	0.026 ? The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:	0.007 ? The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1	Green fluorescence:	0.027 ? The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:	0.059	Promiscuous compounds:	0.113

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:	-5.237	MDCK Permeability:	-4.882
Pgp-inhibitor:	0.198	Pgp-substrate:	0.013
PAMPA:	0.993 ? 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):	0.022
20% Bioavailability (F20%):	0.114	30% Bioavailability (F30%):	0.181
50% Bioavailability (F50%):	0.322

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.0	MRP1:	0.853
Plasma Protein Binding (PPB):	75.046%	Volume Distribution (VD):	-0.599
Fu:	23.54% ? The fraction unbound in plasms.	OATP1B1 inhibitor:	0.993
OATP1B3 inhibitor:	0.949	BCRP inhibitor:	0.005
BSEP inhibitor:	0.97

ADMET: Metabolism

CYP1A2-inhibitor:	0.987	CYP1A2-substrate:	0.0
CYP2C19-inhibitor:	0.706	CYP2C19-substrate:	0.0
CYP2C9-inhibitor:	0.993	CYP2C9-substrate:	0.0
CYP2D6-inhibitor:	0.0	CYP2D6-substrate:	0.034
CYP3A4-inhibitor:	0.482	CYP3A4-substrate:	0.104
CYP2B6-substrate:	0.0	CYP2C8-inhibitor:	0.949
HLM stability:	0.144 ? 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):

3.268

Half-life (T1/2):

1.58

ADMET: Toxicity

hERG Blockers:	0.019	hERG Blockers (10um):	0.03
Human Hepatotoxicity (H-HT):	0.803	Drug-induced Liver Injury (DILI):	0.971
AMES Toxicity:	0.379	Rat Oral Acute Toxicity:	0.741
Maximum Recommended Daily Dose:	0.943	Skin Sensitization:	0.901
Carcinogencity:	0.624	Eye Corrosion:	0.001
Eye Irritation:	0.877	Respiratory Toxicity:	0.948
Drug-induced Neurotoxicity:	0.098	Ototoxicity:	0.695
Hematotoxicity:	0.46	Drug-induced Nephrotoxicity:	0.93
Genotoxicity:	0.998	RPMI-8226 Immunitoxicity:	0.144
A549 Cytotoxicity:	0.007	Hek293 Cytotoxicity:	0.031
BCF:	0.518 ? 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:	3.304 ? 48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:	5.011 ? 48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].	LC50FM:	4.196 ? 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
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	Root barks	n.a.	n.a.	PMID[11473427]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	root bark	n.a.	n.a.	PMID[18198838]
NPO7171	Salvia polystachya	Species	Lamiaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[29135252]
NPO3560	Trifolium montanum	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO24476	Phellodendron amurense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO22242	Phellodendron chinense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO26538	Phellodendron chinese	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO5451	Ageratina saltillensis	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO1329	Esenbeckia hartmanii	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO7966	Grewia villosa	Species	Malvaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO11119	Salta triflora	Species	Polygonaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO7171	Salvia polystachya	Species	Lamiaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO5799	Streptomyces chryseus	Species	Streptomycetaceae	Bacteria	n.a.	n.a.	n.a.	Database[COCONUT]
NPO22242	Phellodendron chinense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO24476	Phellodendron amurense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO7171	Salvia polystachya	Species	Lamiaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO24476	Phellodendron amurense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO22242	Phellodendron chinense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO22242	Phellodendron chinense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO24476	Phellodendron amurense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO26538	Phellodendron chinese	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO24476	Phellodendron amurense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO22242	Phellodendron chinense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO7966	Grewia villosa	Species	Malvaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO24476	Phellodendron amurense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO22242	Phellodendron chinense	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO7171	Salvia polystachya	Species	Lamiaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO11119	Salta triflora	Species	Polygonaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO5451	Ageratina saltillensis	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO1329	Esenbeckia hartmanii	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO5799	Streptomyces chryseus	Species	Streptomycetaceae	Bacteria	n.a.	n.a.	n.a.	Database[UNPD]
NPO3560	Trifolium montanum	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO10830	Dictamnus dasycarpus	Species	Rutaceae	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

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

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 NPC265082 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	10114
0.1-0.2	38276
0.2-0.3	1285
0.3-0.4	132
0.4-0.5	24
0.5-0.6	16
0.6-0.7	5
0.7-0.8	0
0.8-0.85	1
0.85-0.9	0
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Natural Product ID
0.8312	Intermediate Similarity	NPC193798
0.6628	Remote Similarity	NPC25255
0.6625	Remote Similarity	NPC60973
0.6625	Remote Similarity	NPC605384
0.631	Remote Similarity	NPC263265
0.6173	Remote Similarity	NPC604270
0.5977	Remote Similarity	NPC476860
0.5934	Remote Similarity	NPC123088
0.5882	Remote Similarity	NPC470939
0.5795	Remote Similarity	NPC305016
0.5795	Remote Similarity	NPC237155
0.5682	Remote Similarity	NPC476857
0.5455	Remote Similarity	NPC5079
0.5326	Remote Similarity	NPC476856
0.5269	Remote Similarity	NPC476858
0.5227	Remote Similarity	NPC107646
0.5222	Remote Similarity	NPC209364
0.5222	Remote Similarity	NPC605015
0.5109	Remote Similarity	NPC23387
0.5109	Remote Similarity	NPC472653
0.5106	Remote Similarity	NPC604177
0.5053	Remote Similarity	NPC159232

Similar Clinical/Approved Drugs

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

● The left chart: Distribution of similarity level between NPC265082 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	3176
0.1-0.2	5931
0.2-0.3	43
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