Natural Product: NPC146822

Natural Product IDNPC146822
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Colossolactone Vi
IUPAC Name (Z,5R,6S)-6-[(3R,3aR,6R,7R,9bR)-6-(acetyloxymethyl)-7-(2-hydroxypropan-2-yl)-6-(3-methoxy-3-oxopropyl)-3a,9b-dimethyl-1,2,3,4,7,8-hexahydrocyclopenta[a]naphthalen-3-yl]-5-acetyloxy-2-methylhept-2-enoic acid
Synonyms colossolactone VI
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL446797
PubChem CID 24898245
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

Standard InCHIKey IQKAWHUEZWYQHM-SGTCUYSDSA-N
Standard InCHI InChI=1S/C35H52O9/c1-21(31(39)40)10-12-28(44-24(4)37)22(2)25-14-17-34(8)26-11-13-29(32(5,6)41)35(20-43-23(3)36,19-16-30(38)42-9)27(26)15-18-33(25,34)7/h10-11,15,22,25,28-29,41H,12-14,16-20H2,1-9H3,(H,39,40)/b21-10-/t22-,25+,28+,29-,33+,34-,35-/m0/s1
SMILES C/C(=C/C[C@H]([C@@H](C)[C@H]1CC[C@@]2(C)C3=CC[C@@H](C(C)(C)O)[C@@](CCC(=O)OC)(COC(=O)C)C3=CC[C@]12C)OC(=O)C)/C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   616.36 Volume:   648.903
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Van der Waals volume.
Dense:   0.95 LogP:   3.446
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.142
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.462
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   20.0
TPSA:   136.43
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.155 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.289 Fsp3:   0.714
MCE-18:   73.6
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.795 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.185
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.429 Promiscuous compounds:   0.407

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.184 MDCK Permeability:   -5.031
Pgp-inhibitor:   0.429 Pgp-substrate:   0.017
PAMPA:   0.57
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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):   0.028
20% Bioavailability (F20%):   0.883 30% Bioavailability (F30%):   0.902
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   79.444% Volume Distribution (VD):   -0.658
Fu: 16.357%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.907 BCRP inhibitor:   0.004
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.005
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.079
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.205
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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):  0.888 Half-life (T1/2):  1.317

ADMET: Toxicity

hERG Blockers:  0.019 hERG Blockers (10um):  0.007
Human Hepatotoxicity (H-HT):  0.658 Drug-induced Liver Injury (DILI):  0.668
AMES Toxicity:  0.321 Rat Oral Acute Toxicity:  0.036
Maximum Recommended Daily Dose:  0.095 Skin Sensitization:  0.883
Carcinogencity:  0.698 Eye Corrosion:  0.0
Eye Irritation:  0.008 Respiratory Toxicity:  0.089
Drug-induced Neurotoxicity:  0.016 Ototoxicity:  0.867
Hematotoxicity:  0.78 Drug-induced Nephrotoxicity:  0.955
Genotoxicity:  0.869 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.002 Hek293 Cytotoxicity:  0.025
BCF:   0.401
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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:   3.714
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.791
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.828
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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
NPO31039 Ganoderma colossum Species Ganodermataceae Eukaryota n.a. vietnamese n.a. PMID[18547117]
NPO31039 Ganoderma colossum Species Ganodermataceae Eukaryota n.a. n.a. n.a. PMID[18547117]
NPO31039 Ganoderma colossum Species Ganodermataceae Eukaryota n.a. Vietnamese n.a. PMID[19813754]
NPO31039 Ganoderma colossum Species Ganodermataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT202 Individual protein Protease Human immunodeficiency virus 1 IC50 > 100.0 ug.mL-1 PMID[18332176]

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 NPC146822 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
0.8158 Intermediate Similarity NPC482569
0.7568 Intermediate Similarity NPC486184
0.7564 Intermediate Similarity NPC241221
0.7532 Intermediate Similarity NPC482567
0.7051 Intermediate Similarity NPC482568
0.675 Remote Similarity NPC486192
0.6667 Remote Similarity NPC486183
0.6329 Remote Similarity NPC141401
0.631 Remote Similarity NPC482570
0.6 Remote Similarity NPC482566
0.5952 Remote Similarity NPC482571
0.5926 Remote Similarity NPC276127
0.5926 Remote Similarity NPC478307
0.5854 Remote Similarity NPC478312
0.5663 Remote Similarity NPC95779
0.5663 Remote Similarity NPC475320
0.5294 Remote Similarity NPC489791
0.5169 Remote Similarity NPC482572
0.506 Remote Similarity NPC486169
0.5057 Remote Similarity NPC489808
0.5057 Remote Similarity NPC489800

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC146822 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
NPD

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