Natural Product: NPC207023

Natural Product IDNPC207023
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OILXMJHPFNGGTO-QWPJPXHJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 134688397
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003567] Ergostane steroids
          • [CHEMONTID:0001403] Ergosterols and derivatives

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

  Chemical Representations

Standard InCHIKey OILXMJHPFNGGTO-QWPJPXHJSA-N
Standard InCHI InChI=1S/C28H46O/c1-18(2)19(3)7-8-20(4)24-11-12-25-23-10-9-21-17-22(29)13-15-27(21,5)26(23)14-16-28(24,25)6/h7-9,18-20,22-26,29H,10-17H2,1-6H3/b8-7+/t19-,20+,22-,23-,24+,25-,26+,27-,28+/m0/s1
SMILES CC(C)[C@@H](C)/C=C/[C@@H](C)[C@H]1CC[C@H]2[C@@H]3CC=C4C[C@H](CC[C@]4(C)[C@@H]3CC[C@]12C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   398.35 Volume:   462.136
?
Van der Waals volume.
Dense:   0.862 LogP:   5.741
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.439
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.359
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   21.0
TPSA:   20.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.489 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.483 Fsp3:   0.857
MCE-18:   69.577
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.984 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.592 Promiscuous compounds:   0.026

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.329 MDCK Permeability:   -5.002
Pgp-inhibitor:   0.414 Pgp-substrate:   0.006
PAMPA:   0.01
?
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):   0.0
20% Bioavailability (F20%):   0.853 30% Bioavailability (F30%):   0.965
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.168
Plasma Protein Binding (PPB):   98.911% Volume Distribution (VD):   -0.011
Fu: 0.863%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.504
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.006
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.003
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.069
CYP2D6-inhibitor:   0.106 CYP2D6-substrate:   0.448
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.943
?
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):  12.89 Half-life (T1/2):  0.465

ADMET: Toxicity

hERG Blockers:  0.111 hERG Blockers (10um):  0.289
Human Hepatotoxicity (H-HT):  0.576 Drug-induced Liver Injury (DILI):  0.263
AMES Toxicity:  0.068 Rat Oral Acute Toxicity:  0.077
Maximum Recommended Daily Dose:  0.49 Skin Sensitization:  0.867
Carcinogencity:  0.837 Eye Corrosion:  0.17
Eye Irritation:  0.941 Respiratory Toxicity:  0.76
Drug-induced Neurotoxicity:  0.043 Ototoxicity:  0.608
Hematotoxicity:  0.464 Drug-induced Nephrotoxicity:  0.544
Genotoxicity:  0.023 RPMI-8226 Immunitoxicity:  0.086
A549 Cytotoxicity:  0.486 Hek293 Cytotoxicity:  0.67
BCF:   2.85
?
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:   4.329
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.03
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.974
?
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
NPO25980 Rhododendron molle Species Ericaceae Eukaryota flowers n.a. n.a. PMID[15974620]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota Roots n.a. n.a. PMID[26599832]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota Leaves n.a. n.a. PMID[29272126]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9682 Hypnea japonica Species Hypneaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26937 Rivularia nitida Species Rivulariaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO26063 Teucrium abutiloides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26767 Cusparia trifoliata n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO25980 Rhododendron molle Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25860 Pteris longipinna Species Pteridaceae 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
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 NPC207023 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.913 High Similarity NPC154330
0.8936 High Similarity NPC113733
0.7917 Intermediate Similarity NPC162742
0.7917 Intermediate Similarity NPC304309
0.7917 Intermediate Similarity NPC470228
0.7692 Intermediate Similarity NPC33913
0.7451 Intermediate Similarity NPC230301
0.74 Intermediate Similarity NPC22105
0.74 Intermediate Similarity NPC34019
0.74 Intermediate Similarity NPC107059
0.74 Intermediate Similarity NPC600590
0.7255 Intermediate Similarity NPC136188
0.7255 Intermediate Similarity NPC28657
0.7255 Intermediate Similarity NPC474216
0.7115 Intermediate Similarity NPC198968
0.7115 Intermediate Similarity NPC285893
0.7115 Intermediate Similarity NPC134847
0.7059 Intermediate Similarity NPC221758
0.6981 Remote Similarity NPC241290
0.6981 Remote Similarity NPC164840
0.6981 Remote Similarity NPC484739
0.6981 Remote Similarity NPC209944
0.6981 Remote Similarity NPC264245
0.6981 Remote Similarity NPC155986
0.6852 Remote Similarity NPC328714
0.6852 Remote Similarity NPC321381
0.6727 Remote Similarity NPC472265
0.6727 Remote Similarity NPC318495
0.6727 Remote Similarity NPC59453
0.6667 Remote Similarity NPC51014
0.6607 Remote Similarity NPC603646
0.6491 Remote Similarity NPC243985
0.6491 Remote Similarity NPC473943
0.6491 Remote Similarity NPC280710
0.6491 Remote Similarity NPC240650
0.6491 Remote Similarity NPC155011
0.64 Remote Similarity NPC96319
0.6379 Remote Similarity NPC474164
0.6379 Remote Similarity NPC47761
0.6379 Remote Similarity NPC488870
0.6296 Remote Similarity NPC328313
0.6071 Remote Similarity NPC234193
0.6066 Remote Similarity NPC601043
0.6066 Remote Similarity NPC605412
0.6034 Remote Similarity NPC58063
0.6034 Remote Similarity NPC477522
0.5893 Remote Similarity NPC76879
0.5862 Remote Similarity NPC1272
0.5862 Remote Similarity NPC470614
0.5818 Remote Similarity NPC151519
0.5818 Remote Similarity NPC307965
0.5818 Remote Similarity NPC18603
0.5818 Remote Similarity NPC491013
0.5714 Remote Similarity NPC20688
0.5645 Remote Similarity NPC474189
0.5424 Remote Similarity NPC87604
0.5397 Remote Similarity NPC474349
0.5312 Remote Similarity NPC176012
0.5231 Remote Similarity NPC5985
0.5224 Remote Similarity NPC235126
0.5224 Remote Similarity NPC309493
0.5224 Remote Similarity NPC242419
0.5217 Remote Similarity NPC158088
0.5156 Remote Similarity NPC474970
0.5152 Remote Similarity NPC91604
0.5147 Remote Similarity NPC147835
0.5147 Remote Similarity NPC253645
0.5147 Remote Similarity NPC85001
0.5147 Remote Similarity NPC95920
0.5143 Remote Similarity NPC3715
0.5088 Remote Similarity NPC81306
0.5082 Remote Similarity NPC474207
0.5072 Remote Similarity NPC486119

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC207023 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.7451 Intermediate Similarity NPD7339 Approved
0.7255 Intermediate Similarity NPD6942 Phase 4
0.7059 Intermediate Similarity NPD4786 Phase 1
0.64 Remote Similarity NPD3701 Pre-clinical
0.5818 Remote Similarity NPD3667 Phase 4

Bioactivity similarity

  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