NPASS Compound

Natural Product: NPC478415

Natural Product ID	NPC478415
Common Name ? The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.	JVORLDLSNWDOQQ-UHFFFAOYSA-N
IUPAC Name	n.a.
Synonyms
Synthetic Gene Cluster	n.a.
ChEMBL Identifier	n.a.
PubChem CID	134137909
Chemical Classification	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0001392] Lignans, neolignans and related compounds

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 62 67 0 0 0 0 0 0 0 0999 V2000 -7.3372 1.4361 0.0821 C 0 0 0 0 0 0 0 0 0 0 0 0 -6.9696 0.7751 1.2825 O 0 0 0 0 0 0 0 0 0 0 0 0 -5.6685 0.3100 1.4281 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.7349 0.4835 0.4222 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.4658 -0.0002 0.6297 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.1175 -0.6465 1.8109 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.8403 -1.1397 2.0340 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.8715 -1.0007 1.0801 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.1891 -0.3660 -0.0963 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.4790 0.1365 -0.3312 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.7396 0.7558 -1.5120 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.7033 0.8699 -2.4568 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.4562 0.3686 -2.1959 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.1687 -0.2601 -1.0124 C 0 0 0 0 0 0 0 0 0 0 0 0 1.1840 -0.7674 -0.8093 C 0 0 0 0 0 0 0 0 0 0 0 0 2.1705 0.0135 -0.2371 C 0 0 0 0 0 0 0 0 0 0 0 0 1.8331 1.2929 0.1372 C 0 0 0 0 0 0 0 0 0 0 0 0 2.7796 2.0964 0.7062 C 0 0 0 0 0 0 0 0 0 0 0 0 4.0663 1.6460 0.9112 C 0 0 0 0 0 0 0 0 0 0 0 0 5.0044 2.4753 1.4873 C 0 0 0 0 0 0 0 0 0 0 0 0 6.2785 2.0507 1.6981 C 0 0 0 0 0 0 0 0 0 0 0 0 6.6133 0.7823 1.3271 C 0 0 0 0 0 0 0 0 0 0 0 0 5.7138 -0.0895 0.7465 C 0 0 0 0 0 0 0 0 0 0 0 0 4.4351 0.3505 0.5400 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4595 -0.4694 -0.0435 C 0 0 0 0 0 0 0 0 0 0 0 0 3.7828 -1.7396 -0.4184 C 0 0 0 0 0 0 0 0 0 0 0 0 2.7752 -2.5263 -0.9989 C 0 0 0 0 0 0 0 0 0 0 0 0 1.5149 -2.0513 -1.1871 C 0 0 0 0 0 0 0 0 0 0 0 0 0.4957 -2.8045 -1.7586 O 0 0 0 0 0 0 0 0 0 0 0 0 5.0272 -2.2770 -0.2577 O 0 0 0 0 0 0 0 0 0 0 0 0 5.2910 -3.5981 -0.6686 C 0 0 0 0 0 0 0 0 0 0 0 0 7.2084 2.9277 2.2895 O 0 0 0 0 0 0 0 0 0 0 0 0 0.5391 0.5112 -3.1754 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.9529 1.2783 -1.8422 O 0 0 0 0 0 0 0 0 0 0 0 0 -4.2492 1.9257 -3.0604 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.0749 -0.8021 2.7936 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.3429 -0.3291 2.6086 C 0 0 0 0 0 0 0 0 0 0 0 0 -6.2762 -0.5090 3.6283 O 0 0 0 0 0 0 0 0 0 0 0 0 -8.4366 1.6527 0.1133 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.7618 2.3929 0.0518 H 0 0 0 0 0 0 0 0 0 0 0 0 -7.0988 0.7870 -0.7952 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.0742 0.9839 -0.4456 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.6383 -1.6230 2.9564 H 0 0 0 0 0 0 0 0 0 0 0 0 0.1511 -1.3897 1.2455 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.9173 1.3712 -3.4107 H 0 0 0 0 0 0 0 0 0 0 0 0 0.8102 1.6173 -0.0382 H 0 0 0 0 0 0 0 0 0 0 0 0 2.5147 3.1029 1.0008 H 0 0 0 0 0 0 0 0 0 0 0 0 4.6738 3.4801 1.7623 H 0 0 0 0 0 0 0 0 0 0 0 0 7.6411 0.4354 1.4956 H 0 0 0 0 0 0 0 0 0 0 0 0 6.0651 -1.0367 0.4987 H 0 0 0 0 0 0 0 0 0 0 0 0 3.0538 -3.5242 -1.2863 H 0 0 0 0 0 0 0 0 0 0 0 0 0.7551 -3.6227 -2.3002 H 0 0 0 0 0 0 0 0 0 0 0 0 6.3546 -3.8775 -0.5252 H 0 0 0 0 0 0 0 0 0 0 0 0 5.0414 -3.6321 -1.7692 H 0 0 0 0 0 0 0 0 0 0 0 0 4.6014 -4.3367 -0.1902 H 0 0 0 0 0 0 0 0 0 0 0 0 8.0953 2.6274 2.6236 H 0 0 0 0 0 0 0 0 0 0 0 0 1.2450 -0.2064 -3.3014 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.1267 1.1744 -3.8678 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.2484 2.3524 -3.0967 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.4546 2.6990 -3.2308 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.7930 -1.3162 3.7298 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.9880 -1.2210 3.4586 H 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 2 3 1 0 3 4 2 0 4 5 1 0 5 6 2 0 6 7 1 0 7 8 2 0 8 9 1 0 9 10 2 0 10 11 1 0 11 12 2 0 12 13 1 0 13 14 2 0 14 15 1 0 15 16 1 0 16 17 2 0 17 18 1 0 18 19 2 0 19 20 1 0 20 21 2 0 21 22 1 0 22 23 2 0 23 24 1 0 24 25 2 0 25 26 1 0 26 27 2 0 27 28 1 0 28 29 1 0 26 30 1 0 30 31 1 0 21 32 1 0 13 33 1 0 11 34 1 0 34 35 1 0 6 36 1 0 36 37 2 0 37 38 1 0 37 3 1 0 10 5 1 0 28 15 2 0 14 9 1 0 25 16 1 0 24 19 1 0 1 39 1 0 1 40 1 0 1 41 1 0 4 42 1 0 7 43 1 0 8 44 1 0 12 45 1 0 17 46 1 0 18 47 1 0 20 48 1 0 22 49 1 0 23 50 1 0 27 51 1 0 29 52 1 0 31 53 1 0 31 54 1 0 31 55 1 0 32 56 1 0 33 57 1 0 35 58 1 0 35 59 1 0 35 60 1 0 36 61 1 0 38 62 1 0 M END

Standard InCHIKey	JVORLDLSNWDOQQ-UHFFFAOYSA-N
Standard InCHI	InChI=1S/C31H24O7/c1-36-25-12-21-16(11-22(25)33)5-8-20-29(21)27(38-3)14-24(35)31(20)30-19-7-4-15-10-17(32)6-9-18(15)28(19)26(37-2)13-23(30)34/h4-14,32-35H,1-3H3
SMILES	COc1cc2c(ccc3c2c(cc(c3c2c3ccc4cc(ccc4c3c(cc2O)OC)O)O)OC)cc1O

Calculated Properties

Physi-Chem Properties

Molecular Weight:	508.15	Volume:	518.014 ? Van der Waals volume.
Dense:	0.981	LogP:	4.401 ? The logarithm of the n-octanol/water distribution coefficients.
logD7.4:	3.594 ? The logarithm of the n-octanol/water distribution coefficient at pH=7.4.	LogS:	-6.801 ? The logarithm of aqueous solubility value.
Rotatable Bonds:	4.0	Rigid Bonds:	32.0
TPSA:	108.61 ? Topological Polar Surface Area.	H-Bond Acceptor:	7.0
H-Bond Donor:	4.0	Rings:	6.0
Heavy Atoms:	7.0

MedChem Properties

QED Drug-Likeness Score:	0.194	GASA:	1.0 ? GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:	2.791	Fsp³:	0.097
MCE-18:	35.0 ? 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:	Accepted	BMS Rule:	0
Chelating Alert:	1	PAINS Alert:	0
Colloidal aggregators:	0.999	Fluc inhibitor:	0.159 ? The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:	0.33 ? The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1	Green fluorescence:	0.936 ? The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:	0.538	Promiscuous compounds:	0.469

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:	-5.161	MDCK Permeability:	-4.818
Pgp-inhibitor:	0.0	Pgp-substrate:	0.212
PAMPA:	0.588 ? 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):	0.007
20% Bioavailability (F20%):	0.226	30% Bioavailability (F30%):	0.468
50% Bioavailability (F50%):	0.985

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.001	MRP1:	0.952
Plasma Protein Binding (PPB):	98.409%	Volume Distribution (VD):	-0.131
Fu:	0.819% ? The fraction unbound in plasms.	OATP1B1 inhibitor:	0.994
OATP1B3 inhibitor:	1.0	BCRP inhibitor:	0.615
BSEP inhibitor:	0.382

ADMET: Metabolism

CYP1A2-inhibitor:	0.918	CYP1A2-substrate:	0.843
CYP2C19-inhibitor:	0.589	CYP2C19-substrate:	0.699
CYP2C9-inhibitor:	1.0	CYP2C9-substrate:	0.044
CYP2D6-inhibitor:	1.0	CYP2D6-substrate:	0.51
CYP3A4-inhibitor:	0.199	CYP3A4-substrate:	0.979
CYP2B6-substrate:	0.228	CYP2C8-inhibitor:	0.999
HLM stability:	0.998 ? 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):

1.744

Half-life (T1/2):

1.812

ADMET: Toxicity

hERG Blockers:	0.461	hERG Blockers (10um):	0.699
Human Hepatotoxicity (H-HT):	0.776	Drug-induced Liver Injury (DILI):	0.974
AMES Toxicity:	0.917	Rat Oral Acute Toxicity:	0.622
Maximum Recommended Daily Dose:	0.954	Skin Sensitization:	0.723
Carcinogencity:	0.837	Eye Corrosion:	0.0
Eye Irritation:	0.721	Respiratory Toxicity:	0.99
Drug-induced Neurotoxicity:	0.901	Ototoxicity:	0.778
Hematotoxicity:	0.567	Drug-induced Nephrotoxicity:	0.875
Genotoxicity:	0.701	RPMI-8226 Immunitoxicity:	0.39
A549 Cytotoxicity:	0.96	Hek293 Cytotoxicity:	0.959
BCF:	1.475 ? 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:	4.688 ? 48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:	5.516 ? 48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].	LC50FM:	5.249 ? 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
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[15686910]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	Fibrous Roots	n.a.	n.a.	PMID[25760525]
NPO7428	Bletilla formosana	Species	Orchidaceae	Eukaryota	Rhizomes	n.a.	n.a.	PMID[27525452]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[31415170]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO7428	Bletilla formosana	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO7428	Bletilla formosana	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO10780	Bletilla striata	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO7428	Bletilla formosana	Species	Orchidaceae	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	3

Activity Type	# Activity
Cell line	1
Non-molecular	2

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
NPT34	Cell line	BV-2	Mus musculus	IC50	=	5000.0	nM	PMID[31415170]
NPT20529	Non-molecular	NON-PROTEIN TARGET	n.a.	IC50	=	1900.0	nM	PMID[27525452]
NPT20529	Non-molecular	NON-PROTEIN TARGET	n.a.	IC50	=	1700.0	nM	PMID[27525452]

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 NPC478415 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	31218
0.1-0.2	17304
0.2-0.3	1275
0.3-0.4	32
0.4-0.5	15
0.5-0.6	6
0.6-0.7	2
0.7-0.8	0
0.8-0.85	1
0.85-0.9	1
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Natural Product ID
0.8511	High Similarity	NPC104996
0.8298	Intermediate Similarity	NPC133463
0.7843	Intermediate Similarity	NPC478414
0.7547	Intermediate Similarity	NPC170328
0.7018	Intermediate Similarity	NPC273623
0.6275	Remote Similarity	NPC200935
0.6038	Remote Similarity	NPC71465
0.5686	Remote Similarity	NPC53781
0.5636	Remote Similarity	NPC126291
0.5507	Remote Similarity	NPC232525
0.5205	Remote Similarity	NPC206525
0.5185	Remote Similarity	NPC230919
0.5091	Remote Similarity	NPC266453

Similar Clinical/Approved Drugs

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

● The left chart: Distribution of similarity level between NPC478415 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	7033
0.1-0.2	2102
0.2-0.3	15
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