NPASS Compound

Structure

NPC8893 OpenBabel06302215342D 34 38 0 0 1 0 0 0 0 0999 V2000 -1.6470 0.5828 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.6750 0.7110 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 -0.2074 1.5727 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.1307 2.5501 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.0155 2.1278 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.7566 1.3942 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.1786 2.7442 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.8848 0.4223 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 0.8911 -0.4740 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.6762 -0.9273 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 2.4612 0.4323 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 3.2466 -0.0211 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.2529 -0.9173 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 4.0499 -1.3709 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.8959 -0.8755 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 4.0555 -2.2879 0.0000 N 0 0 0 0 0 0 0 0 0 0 0 0 4.9076 -2.7728 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.2643 -2.7513 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 2.6435 -3.5101 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.9903 -4.4271 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2.4673 -2.2977 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.6213 -2.7931 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2.4616 -1.3807 0.0000 N 0 0 0 0 0 0 0 0 0 0 0 0 4.0239 -2.7466 0.0000 S 0 0 0 0 0 0 0 0 0 0 0 0 4.5577 -2.2061 0.0000 S 0 0 0 0 0 0 0 0 0 0 0 0 4.5530 -1.4465 0.0000 S 0 0 0 0 0 0 0 0 0 0 0 0 4.0126 -0.9126 0.0000 S 0 0 0 0 0 0 0 0 0 0 0 0 1.6761 0.8856 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 1.6733 1.7923 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2.5004 2.1636 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.5923 3.0655 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 3.2355 1.6329 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.9282 1.2412 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.0000 -0.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 6 0 0 0 2 3 1 0 0 0 0 2 34 1 0 0 0 0 3 4 1 0 0 0 0 3 5 1 0 0 0 0 3 6 1 0 0 0 0 6 7 2 0 0 0 0 6 8 1 0 0 0 0 8 28 1 0 0 0 0 8 9 1 6 0 0 0 8 34 1 0 0 0 0 10 9 1 6 0 0 0 10 11 1 0 0 0 0 10 23 1 0 0 0 0 11 12 1 0 0 0 0 11 28 1 0 0 0 0 11 33 1 1 0 0 0 13 12 1 1 0 0 0 13 23 1 0 0 0 0 13 27 1 0 0 0 0 13 14 1 0 0 0 0 14 15 2 0 0 0 0 14 16 1 0 0 0 0 16 17 1 0 0 0 0 16 18 1 0 0 0 0 18 19 1 1 0 0 0 18 21 1 0 0 0 0 18 24 1 0 0 0 0 19 20 1 0 0 0 0 21 22 2 0 0 0 0 21 23 1 0 0 0 0 24 25 1 0 0 0 0 25 26 1 0 0 0 0 26 27 1 0 0 0 0 28 29 1 1 0 0 0 29 30 1 0 0 0 0 30 31 2 0 0 0 0 30 32 1 0 0 0 0 M END $$$$

Physi-Chem Properties

Molecular Weight:	192.04
Volume:	186.382
LogP:	1.555
LogD:	1.423
LogS:	-2.914
# Rotatable Bonds:	1
TPSA:	56.51
# H-Bond Aceptor:	4
# H-Bond Donor:	0
# Rings:	2
# Heavy Atoms:	4

MedChem Properties

QED Drug-Likeness Score:	0.676
Synthetic Accessibility Score:	2.826
Fsp3:	0.2
Lipinski Rule-of-5:	Accepted
Pfizer Rule:	Accepted
GSK Rule:	Accepted
BMS Rule:	0
Golden Triangle Rule:	Rejected
Chelating Alert:	0
PAINS Alert:	1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:	-4.588
MDCK Permeability:	2.2056197849451564e-05
Pgp-inhibitor:	0.405
Pgp-substrate:	0.001
Human Intestinal Absorption (HIA):	0.005
20% Bioavailability (F20%):	0.022
30% Bioavailability (F30%):	0.886

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.094
Plasma Protein Binding (PPB):	82.232177734375%
Volume Distribution (VD):	0.723
Pgp-substrate:	10.415728569030762%

ADMET: Metabolism

CYP1A2-inhibitor:	0.982
CYP1A2-substrate:	0.914
CYP2C19-inhibitor:	0.733
CYP2C19-substrate:	0.366
CYP2C9-inhibitor:	0.415
CYP2C9-substrate:	0.572
CYP2D6-inhibitor:	0.246
CYP2D6-substrate:	0.304
CYP3A4-inhibitor:	0.109
CYP3A4-substrate:	0.219

ADMET: Excretion

Clearance (CL):	7.079
Half-life (T1/2):	0.749

ADMET: Toxicity

hERG Blockers:	0.004
Human Hepatotoxicity (H-HT):	0.886
Drug-inuced Liver Injury (DILI):	0.668
AMES Toxicity:	0.81
Rat Oral Acute Toxicity:	0.884
Maximum Recommended Daily Dose:	0.9
Skin Sensitization:	0.401
Carcinogencity:	0.934
Eye Corrosion:	0.097
Eye Irritation:	0.753
Respiratory Toxicity:	0.84

Download Data

Data Type	Select
General Info & Identifiers & Properties
Structure MOL file
Source Organisms
Biological Activities
Similar NPs/Drugs

Natural Product: NPC8893

Natural Product ID:	NPC8893
*Common Name:**	HRTWROLCNILHTD-AUVCUMBHSA-N
IUPAC Name:	n.a.
Synonyms:
Standard InCHIKey:	HRTWROLCNILHTD-AUVCUMBHSA-N
Standard InCHI:	InChI=1S/C20H26N2O8S4/c1-9-16(3,4)12(25)18(30-9)6-11-17(28,13(18)29-10(2)24)7-19-14(26)21(5)20(8-23,15(27)22(11)19)32-34-33-31-19/h9,11,13,23,28H,6-8H2,1-5H3/t9-,11-,13+,17+,18+,19-,20-/m1/s1
SMILES:	C[C@@H]1C(C)(C)C(=O)[C@]2(C[C@@H]3[C@@](C[C@@]45C(=O)N(C)[C@@](CO)(C(=O)N34)SSSS5)([C@@H]2OC(=O)C)O)O1
Synthetic Gene Cluster:	n.a.
ChEMBL Identifier:	n.a.
PubChem CID:	23252209
Chemical Classification:**	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000264] Organic acids and derivatives [CHEMONTID:0000265] Carboxylic acids and derivatives [CHEMONTID:0000013] Amino acids, peptides, and analogues [CHEMONTID:0000347] Amino acids and derivatives [CHEMONTID:0000060] Alpha amino acids and derivatives

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

Species Source

Organism ID	Organism Name	Taxonomy Level	Family	SuperKingdom	Isolation Part	Collection Location	Collection Time	Reference
NPO10303	Cercophora areolata	Species	Lasiosphaeriaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[8792624]
NPO2357	Acronychia baueri	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO16724	Coelogyne ovalis	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO16724	Coelogyne ovalis	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO2357	Acronychia baueri	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO14081	Derris eriocarpa	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO2357	Acronychia baueri	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO17465	Agropyron semicostatum	Species	Poaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO10303	Cercophora areolata	Species	Lasiosphaeriaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO6753	Othonna floribunda	Species	Asteraceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO2357	Acronychia baueri	Species	Rutaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO14081	Derris eriocarpa	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO17391	Betula fusca	Species	Betulaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO16724	Coelogyne ovalis	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	NP ID	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

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

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

● The left chart: Distribution of similarity level between NPC8893 and all remaining natural products in the NPASS database.
● The right table: Most similar natural products (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	398
0.1-0.2	4918
0.2-0.3	19815
0.3-0.4	13803
0.4-0.5	3476
0.5-0.6	274
0.6-0.7	11
0.7-0.8	0
0.8-0.85	0
0.85-0.9	2
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Natural Product ID

Chemically structural similarity: II. Similar Clinical/Approved Drugs

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

● The left chart: Distribution of similarity level between NPC8893 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	164
0.1-0.2	2450
0.2-0.3	4579
0.3-0.4	1601
0.4-0.5	305
0.5-0.6	50
0.6-0.7	0
0.7-0.8	0
0.8-0.85	0
0.85-0.9	1
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Drug ID	Developmental Stage

Bioactivity similarity: Similar Natural Products in NPASS

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