Natural Product: NPC291999

Natural Product IDNPC291999
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Isoiguesterol
IUPAC Name (6aS,6bS,8aR,11R,12aR,14aR)-3-hydroxy-11-(hydroxymethyl)-4,6a,6b,8a,14a-pentamethyl-8,9,10,11,12,12a,13,14-octahydro-7H-picen-2-one
Synonyms Isoiguesterol
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL480292
PubChem CID 10477355
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003487] Cyclic ketones

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 RRKSDDREVOXSJD-VOEASNBBSA-N
Standard InCHI InChI=1S/C28H38O3/c1-17-19-6-7-22-26(3,20(19)15-21(30)24(17)31)11-13-28(5)23-14-18(16-29)8-9-25(23,2)10-12-27(22,28)4/h6-7,15,18,23,29,31H,8-14,16H2,1-5H3/t18-,23-,25-,26+,27-,28+/m1/s1
SMILES CC1=C(C(=O)C=C2C1=CC=C1[C@@]2(C)CC[C@@]2(C)[C@@H]3C[C@@H](CC[C@]3(C)CC[C@]12C)CO)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   422.28 Volume:   463.25
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Van der Waals volume.
Dense:   0.912 LogP:   2.882
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.83
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.77
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   57.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.528 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.862 Fsp3:   0.679
MCE-18:   89.362
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.91 Fluc inhibitor:   0.439
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.633
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.031
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.485 Promiscuous compounds:   0.459

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.359 MDCK Permeability:   -4.936
Pgp-inhibitor:   0.907 Pgp-substrate:   0.095
PAMPA:   0.909
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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):   0.003
20% Bioavailability (F20%):   0.979 30% Bioavailability (F30%):   0.927
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.981 MRP1:   0.993
Plasma Protein Binding (PPB):   87.605% Volume Distribution (VD):   0.133
Fu: 13.348%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.969 BCRP inhibitor:   0.881
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.996 CYP1A2-substrate:   0.724
CYP2C19-inhibitor:   0.951 CYP2C19-substrate:   0.662
CYP2C9-inhibitor:   0.021 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.024 CYP2D6-substrate:   0.463
CYP3A4-inhibitor:   0.3 CYP3A4-substrate:   0.982
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.989
HLM stability:   0.975
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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):  5.87 Half-life (T1/2):  0.527

ADMET: Toxicity

hERG Blockers:  0.138 hERG Blockers (10um):  0.145
Human Hepatotoxicity (H-HT):  0.797 Drug-induced Liver Injury (DILI):  0.935
AMES Toxicity:  0.737 Rat Oral Acute Toxicity:  0.709
Maximum Recommended Daily Dose:  0.769 Skin Sensitization:  0.995
Carcinogencity:  0.694 Eye Corrosion:  0.0
Eye Irritation:  0.417 Respiratory Toxicity:  0.959
Drug-induced Neurotoxicity:  0.811 Ototoxicity:  0.849
Hematotoxicity:  0.747 Drug-induced Nephrotoxicity:  0.977
Genotoxicity:  0.933 RPMI-8226 Immunitoxicity:  0.268
A549 Cytotoxicity:  0.796 Hek293 Cytotoxicity:  0.522
BCF:   1.499
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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:   4.154
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.786
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.061
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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
NPO26085 Salacia kraussii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[9644053]
NPO26085 Salacia kraussii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26085 Salacia kraussii Species Celastraceae 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
NPT139 Cell line HT-29 Homo sapiens IC50 = 2.43 ug.mL-1 PMID[25946116]
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 0.0541 ug.mL-1 PMID[19921834]
NPT485 Organism Plasmodium falciparum (isolate K1 / Thailand) Plasmodium falciparum K1 IC50 = 0.0229 ug.mL-1 Open TG-GATES in vivo data: Biochemistry

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 NPC291999 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
1.0 High Similarity NPC309309
0.7213 Intermediate Similarity NPC287063
0.6935 Remote Similarity NPC112680
0.6875 Remote Similarity NPC174167
0.6667 Remote Similarity NPC65615
0.6667 Remote Similarity NPC68148
0.6667 Remote Similarity NPC292589
0.6567 Remote Similarity NPC777
0.6567 Remote Similarity NPC112454
0.6308 Remote Similarity NPC211230
0.6308 Remote Similarity NPC53385
0.597 Remote Similarity NPC33881
0.5714 Remote Similarity NPC263780
0.527 Remote Similarity NPC213366

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC291999 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
0.6567 Remote Similarity NPD7285 Clinical (unspecified phase)

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