NPASS Compound

Natural Product: NPC299570

Natural Product ID	NPC299570
Common Name ? The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.	FXXDZYIYSHRRHM-IXUYYVEPSA-N
IUPAC Name	n.a.
Synonyms
Synthetic Gene Cluster	n.a.
ChEMBL Identifier	n.a.
PubChem CID	n.a.
Chemical Classification	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0000259] Prenol lipids [CHEMONTID:0001553] Triterpenoids

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 93100 0 0 0 0 0 0 0 0999 V2000 8.3121 -0.6522 -1.9481 C 0 0 0 0 0 0 0 0 0 0 0 0 6.9153 -0.7755 -1.4708 C 0 0 0 0 0 0 0 0 0 0 0 0 6.6326 -1.4072 -0.3580 C 0 0 0 0 0 0 0 0 0 0 0 0 5.2472 -1.5439 0.1395 C 0 0 0 0 0 0 0 0 0 0 0 0 5.0940 -2.1672 1.2124 O 0 0 0 0 0 0 0 0 0 0 0 0 4.1819 -1.0457 -0.4879 O 0 0 0 0 0 0 0 0 0 0 0 0 2.8351 -1.0374 -0.2398 C 0 0 0 0 0 0 0 0 0 0 0 0 2.3939 -0.3740 1.0345 C 0 0 2 0 0 0 0 0 0 0 0 0 2.4657 -1.1840 2.2523 C 0 0 1 0 0 0 0 0 0 0 0 0 2.4972 -0.6060 3.6104 C 0 0 0 0 0 0 0 0 0 0 0 0 1.1538 -0.9494 3.0626 C 0 0 1 0 0 0 0 0 0 0 0 0 0.3788 0.0534 2.3007 C 0 0 1 0 0 0 0 0 0 0 0 0 0.7234 1.4256 2.7991 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8727 -0.2378 0.8982 C 0 0 1 0 0 0 0 0 0 0 0 0 0.4102 0.7502 -0.1037 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.8395 1.3570 0.4323 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.2611 2.6444 0.2661 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.5245 3.6586 -0.5103 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.1198 4.7501 0.1697 O 0 0 0 0 0 0 0 0 0 0 0 0 -0.5649 5.8543 0.7450 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.7813 6.1220 0.7093 O 0 0 0 0 0 0 0 0 0 0 0 0 0.3172 6.8554 1.4700 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.4454 2.8086 1.0406 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.2002 3.7775 1.2086 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.7042 1.5989 1.6740 O 0 0 0 0 0 0 0 0 0 0 0 0 -1.8328 0.5779 1.2079 C 0 0 2 0 0 0 0 0 0 0 0 0 -1.1246 -0.0692 2.3944 C 0 0 1 0 0 0 0 0 0 0 0 0 -1.6527 -1.4310 2.6969 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.6829 -2.3334 1.5135 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.2180 -1.7715 0.4534 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.7330 -0.3384 0.4768 C 0 0 2 0 0 0 0 0 0 0 0 0 -2.9992 -0.0798 -0.9526 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.0168 0.6367 -1.3863 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.9836 1.2504 -0.4254 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.3456 0.8345 -2.7779 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.3407 1.5984 -3.0715 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.7343 0.3030 -3.8740 O 0 0 0 0 0 0 0 0 0 0 0 0 -4.1267 0.5445 -5.2117 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.0801 -0.6437 -1.9695 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.7393 0.0904 -2.9064 O 0 0 0 0 0 0 0 0 0 0 0 0 -1.5807 -2.0494 -1.8619 C 0 0 1 0 0 0 0 0 0 0 0 0 -2.2910 -2.6566 -0.7007 C 0 0 2 0 0 0 0 0 0 0 0 0 -3.7532 -2.9321 -1.0001 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.6021 -3.8987 -0.2040 C 0 0 2 0 0 0 0 0 0 0 0 0 -2.2464 -4.7113 0.8667 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.2340 -3.6998 1.2204 C 0 0 2 0 0 0 0 0 0 0 0 0 -1.9713 -2.7351 -3.0139 O 0 0 0 0 0 0 0 0 0 0 0 0 2.9840 0.8762 1.0214 O 0 0 0 0 0 0 0 0 0 0 0 0 5.8231 -0.1728 -2.2678 C 0 0 0 0 0 0 0 0 0 0 0 0 9.0277 -0.8333 -1.1041 H 0 0 0 0 0 0 0 0 0 0 0 0 8.5056 -1.3657 -2.7752 H 0 0 0 0 0 0 0 0 0 0 0 0 8.4358 0.3726 -2.3413 H 0 0 0 0 0 0 0 0 0 0 0 0 7.4291 -1.8403 0.2127 H 0 0 0 0 0 0 0 0 0 0 0 0 2.3453 -0.4157 -1.0653 H 0 0 0 0 0 0 0 0 0 0 0 0 2.3986 -2.0783 -0.3189 H 0 0 0 0 0 0 0 0 0 0 0 0 2.7255 -2.2651 2.1341 H 0 0 0 0 0 0 0 0 0 0 0 0 2.8489 0.4119 3.7761 H 0 0 0 0 0 0 0 0 0 0 0 0 2.8521 -1.3008 4.4168 H 0 0 0 0 0 0 0 0 0 0 0 0 0.7014 -1.9202 3.3616 H 0 0 0 0 0 0 0 0 0 0 0 0 1.4374 2.0040 2.2471 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.1921 2.0782 2.8954 H 0 0 0 0 0 0 0 0 0 0 0 0 1.0479 1.3148 3.8768 H 0 0 0 0 0 0 0 0 0 0 0 0 0.5547 -1.2440 0.6159 H 0 0 0 0 0 0 0 0 0 0 0 0 1.2220 1.5189 -0.1986 H 0 0 0 0 0 0 0 0 0 0 0 0 0.3044 0.3110 -1.0817 H 0 0 0 0 0 0 0 0 0 0 0 0 0.3800 3.1794 -0.9853 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.2051 3.9479 -1.4024 H 0 0 0 0 0 0 0 0 0 0 0 0 0.3467 7.8169 0.9600 H 0 0 0 0 0 0 0 0 0 0 0 0 1.2970 6.4075 1.6746 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.1808 6.9792 2.4702 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.4217 0.5259 3.3118 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.7580 -1.2550 2.9237 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.2813 -1.8792 3.6063 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.6830 -0.5171 1.0690 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.0041 1.0776 -0.8914 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.0525 0.8115 0.5470 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.8560 2.3498 -0.4849 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.8567 -0.2750 -5.4694 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.2878 0.4211 -5.9230 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.6375 1.4942 -5.3642 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.4944 -2.1062 -1.7329 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.1038 -2.2336 -1.7566 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.3265 -2.7693 -0.0672 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.9167 -4.0003 -1.2720 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.9834 -4.4152 -0.9340 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.9181 -5.7698 0.9324 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.3049 -4.5738 1.1151 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.1925 -3.9897 1.4852 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.1796 -3.6734 -2.7598 H 0 0 0 0 0 0 0 0 0 0 0 0 3.7779 0.8308 1.6330 H 0 0 0 0 0 0 0 0 0 0 0 0 6.2345 0.3148 -3.1963 H 0 0 0 0 0 0 0 0 0 0 0 0 5.3461 0.6173 -1.6457 H 0 0 0 0 0 0 0 0 0 0 0 0 5.1093 -0.9295 -2.6285 H 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 2 3 2 3 3 4 1 0 4 5 2 0 4 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 1 0 12 13 1 1 12 14 1 0 14 15 1 0 15 16 1 0 16 17 2 0 17 18 1 0 18 19 1 0 19 20 1 0 20 21 2 0 20 22 1 0 17 23 1 0 23 24 2 0 23 25 1 0 26 25 1 1 26 27 1 0 27 28 1 0 28 29 1 0 29 30 2 0 30 31 1 0 31 32 1 0 32 33 2 0 33 34 1 0 33 35 1 0 35 36 2 0 35 37 1 0 37 38 1 0 32 39 1 0 39 40 2 0 39 41 1 0 41 42 1 0 42 43 1 6 42 44 1 0 44 45 1 0 45 46 1 0 41 47 1 0 8 48 1 1 2 49 1 0 14 8 1 0 26 16 1 0 46 29 1 0 11 9 1 0 27 12 1 0 42 30 1 0 46 44 1 0 31 26 1 0 1 50 1 0 1 51 1 0 1 52 1 0 3 53 1 0 7 54 1 0 7 55 1 0 9 56 1 6 10 57 1 0 10 58 1 0 11 59 1 1 13 60 1 0 13 61 1 0 13 62 1 0 14 63 1 6 15 64 1 0 15 65 1 0 18 66 1 0 18 67 1 0 22 68 1 0 22 69 1 0 22 70 1 0 27 71 1 1 28 72 1 0 28 73 1 0 31 74 1 1 34 75 1 0 34 76 1 0 34 77 1 0 38 78 1 0 38 79 1 0 38 80 1 0 41 81 1 1 43 82 1 0 43 83 1 0 43 84 1 0 44 85 1 6 45 86 1 0 45 87 1 0 46 88 1 6 47 89 1 0 48 90 1 0 49 91 1 0 49 92 1 0 49 93 1 0 M END

Standard InCHIKey	FXXDZYIYSHRRHM-IXUYYVEPSA-N
Standard InCHI	InChI=1S/C38H44O11/c1-15(2)8-27(40)48-14-37(45)24-11-23(24)35(5)25(37)12-22-20(13-47-17(4)39)34(44)49-38(22)26(35)10-19-18-9-21(18)36(6)29(19)30(38)28(31(41)32(36)42)16(3)33(43)46-7/h8,18,21,23-26,30,32,42,45H,9-14H2,1-7H3/b28-16-/t18-,21-,23-,24+,25-,26+,30+,32+,35+,36+,37+,38+/m1/s1
SMILES	CC(=CC(=O)OC[C@@]1([C@H]2C[C@H]2[C@@]2(C)[C@H]1CC1=C(COC(=O)C)C(=O)O[C@@]31[C@H]2CC1=C2[C@@H]3/C(=C(C)/C(=O)OC)/C(=O)[C@@H]([C@@]2(C)[C@@H]2C[C@H]12)O)O)C

Calculated Properties

Physi-Chem Properties

Molecular Weight:	676.29	Volume:	670.317 ? Van der Waals volume.
Dense:	1.009	LogP:	2.656 ? The logarithm of the n-octanol/water distribution coefficients.
logD7.4:	2.823 ? The logarithm of the n-octanol/water distribution coefficient at pH=7.4.	LogS:	-5.016 ? The logarithm of aqueous solubility value.
Rotatable Bonds:	9.0	Rigid Bonds:	38.0
TPSA:	162.73 ? Topological Polar Surface Area.	H-Bond Acceptor:	11.0
H-Bond Donor:	2.0	Rings:	8.0
Heavy Atoms:	11.0

MedChem Properties

QED Drug-Likeness Score:	0.184	GASA:	1.0 ? GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:	6.683	Fsp³:	0.658
MCE-18:	196.444 ? MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.	Lipinski Rule-of-5:	Accepted
Pfizer Rule:	Rejected	GSK Rule:	Accepted
Golden Triangle Rule:	Accepted	BMS Rule:	0
Chelating Alert:	0	PAINS Alert:	0
Colloidal aggregators:	0.533	Fluc inhibitor:	0.002 ? The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:	0.677 ? The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1	Green fluorescence:	0.021 ? The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:	0.163	Promiscuous compounds:	0.42

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:	-5.442	MDCK Permeability:	-5.029
Pgp-inhibitor:	0.009	Pgp-substrate:	0.883
PAMPA:	0.664 ? 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):	0.011
20% Bioavailability (F20%):	0.996	30% Bioavailability (F30%):	0.999
50% Bioavailability (F50%):	1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.812	MRP1:	0.999
Plasma Protein Binding (PPB):	87.73%	Volume Distribution (VD):	-0.147
Fu:	10.156% ? The fraction unbound in plasms.	OATP1B1 inhibitor:	0.999
OATP1B3 inhibitor:	0.998	BCRP inhibitor:	0.223
BSEP inhibitor:	0.907

ADMET: Metabolism

CYP1A2-inhibitor:	0.019	CYP1A2-substrate:	0.007
CYP2C19-inhibitor:	0.0	CYP2C19-substrate:	0.017
CYP2C9-inhibitor:	0.0	CYP2C9-substrate:	0.0
CYP2D6-inhibitor:	0.0	CYP2D6-substrate:	0.007
CYP3A4-inhibitor:	1.0	CYP3A4-substrate:	0.999
CYP2B6-substrate:	0.0	CYP2C8-inhibitor:	0.997
HLM stability:	0.859 ? 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):

3.087

Half-life (T1/2):

1.201

ADMET: Toxicity

hERG Blockers:	0.032	hERG Blockers (10um):	0.215
Human Hepatotoxicity (H-HT):	0.647	Drug-induced Liver Injury (DILI):	0.713
AMES Toxicity:	0.954	Rat Oral Acute Toxicity:	0.466
Maximum Recommended Daily Dose:	0.867	Skin Sensitization:	0.999
Carcinogencity:	0.91	Eye Corrosion:	0.0
Eye Irritation:	0.017	Respiratory Toxicity:	0.304
Drug-induced Neurotoxicity:	0.639	Ototoxicity:	0.598
Hematotoxicity:	0.916	Drug-induced Nephrotoxicity:	0.989
Genotoxicity:	0.978	RPMI-8226 Immunitoxicity:	0.271
A549 Cytotoxicity:	0.669	Hek293 Cytotoxicity:	0.499
BCF:	0.63 ? 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:	4.061 ? 48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:	5.926 ? 48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].	LC50FM:	5.374 ? 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
NPO15190	Chloranthus fortunei	Species	Chloranthaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[27997206]
NPO15190	Chloranthus fortunei	Species	Chloranthaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO15190	Chloranthus fortunei	Species	Chloranthaceae	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
IC50	1

Activity Type	# Activity
Organism	1

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
NPT6	Organism	Plasmodium falciparum	Plasmodium falciparum	IC50	=	860.0	nM	PMID[27997206]

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 NPC299570 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	20865
0.1-0.2	28324
0.2-0.3	612
0.3-0.4	14
0.4-0.5	13
0.5-0.6	7
0.6-0.7	3
0.7-0.8	0
0.8-0.85	4
0.85-0.9	5
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Natural Product ID
0.8795	High Similarity	NPC35109
0.8721	High Similarity	NPC241935
0.8721	High Similarity	NPC486803
0.8523	High Similarity	NPC486797
0.8523	High Similarity	NPC164241
0.8452	Intermediate Similarity	NPC486799
0.8242	Intermediate Similarity	NPC279478
0.814	Intermediate Similarity	NPC59488
0.8046	Intermediate Similarity	NPC19772
0.7802	Intermediate Similarity	NPC34963
0.7802	Intermediate Similarity	NPC186637
0.7765	Intermediate Similarity	NPC275236
0.7742	Intermediate Similarity	NPC486810
0.7674	Intermediate Similarity	NPC15095
0.7634	Intermediate Similarity	NPC486798
0.7474	Intermediate Similarity	NPC290020
0.7444	Intermediate Similarity	NPC196921
0.7416	Intermediate Similarity	NPC486811
0.7416	Intermediate Similarity	NPC220757
0.7347	Intermediate Similarity	NPC58029
0.6404	Remote Similarity	NPC486809
0.6139	Remote Similarity	NPC469673
0.6044	Remote Similarity	NPC263046
0.5851	Remote Similarity	NPC17938
0.5618	Remote Similarity	NPC309497
0.5618	Remote Similarity	NPC611150
0.5392	Remote Similarity	NPC469381
0.5319	Remote Similarity	NPC486812
0.5229	Remote Similarity	NPC100347
0.5135	Remote Similarity	NPC486801

Similar Clinical/Approved Drugs

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

● The left chart: Distribution of similarity level between NPC299570 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	7125
0.1-0.2	1980
0.2-0.3	45
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