Natural Product: NPC254823

Natural Product IDNPC254823
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Chloramultiol C
IUPAC Name n.a.
Synonyms Chloramultiol C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1097988
PubChem CID 46834848
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 QEKDFQHMYVWLIF-HYZASWLWSA-N
Standard InCHI InChI=1S/C36H42O11/c1-7-14(2)27(38)45-13-34(43)21-8-18(21)31(4)22(34)10-17-16(12-37)29(40)46-35(17)23(31)11-33(42)20-9-19(20)32(5)26(33)25(35)24-15(3)28(39)47-36(24,44-6)30(32)41/h7,18-23,30,37,41-43H,8-13H2,1-6H3/b14-7+/t18-,19-,20+,21+,22-,23+,30-,31+,32+,33+,34+,35+,36+/m1/s1
SMILES C/C=C(C)/C(=O)OC[C@@]1([C@H]2C[C@H]2[C@@]2(C)[C@H]1CC1=C(CO)C(=O)O[C@@]31[C@H]2C[C@@]1([C@H]2C[C@H]2[C@@]2(C)C1=C3C1=C(C)C(=O)O[C@@]1([C@@H]2O)OC)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   650.27 Volume:   632.441
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Van der Waals volume.
Dense:   1.028 LogP:   1.224
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.697
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.884
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   39.0
TPSA:   169.05
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   4.0 Rings:   9.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.194 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.941 Fsp3:   0.694
MCE-18:   220.557
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.431 Fluc inhibitor:   0.006
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.32
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.219 Promiscuous compounds:   0.524

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.316 MDCK Permeability:   -4.907
Pgp-inhibitor:   0.0 Pgp-substrate:   0.43
PAMPA:   1.0
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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):   0.097
20% Bioavailability (F20%):   0.956 30% Bioavailability (F30%):   0.941
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.361 MRP1:   0.982
Plasma Protein Binding (PPB):   72.517% Volume Distribution (VD):   -0.159
Fu: 26.465%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.93
OATP1B3 inhibitor:   0.697 BCRP inhibitor:   0.0
BSEP inhibitor:   0.059

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.006
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.071
CYP3A4-inhibitor:   0.871 CYP3A4-substrate:   0.732
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.997
HLM stability:   0.86
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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):  2.835 Half-life (T1/2):  2.097

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.024
Human Hepatotoxicity (H-HT):  0.903 Drug-induced Liver Injury (DILI):  0.66
AMES Toxicity:  0.925 Rat Oral Acute Toxicity:  0.331
Maximum Recommended Daily Dose:  0.898 Skin Sensitization:  1.0
Carcinogencity:  0.986 Eye Corrosion:  0.0
Eye Irritation:  0.071 Respiratory Toxicity:  0.138
Drug-induced Neurotoxicity:  0.248 Ototoxicity:  0.716
Hematotoxicity:  0.868 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.371
A549 Cytotoxicity:  0.282 Hek293 Cytotoxicity:  0.556
BCF:   0.549
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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:   3.568
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.598
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.68
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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
NPO8670 Chloranthus multistachys Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[20392109]
NPO8670 Chloranthus multistachys Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8670 Chloranthus multistachys Species Chloranthaceae 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
NPT81 Cell line A549 Homo sapiens IC50 > 10000.0 nM PMID[15568791]
NPT116 Cell line HL-60 Homo sapiens IC50 > 10000.0 nM PMID[19101158]
NPT461 Cell line PANC-1 Homo sapiens IC50 > 10000.0 nM PMID[25593097]
NPT659 Cell line SMMC-7721 Homo sapiens IC50 > 10000.0 nM PMID[19618898]
NPT134 Cell line SK-BR-3 Homo sapiens IC50 > 10000.0 nM PMID[18553924]

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 NPC254823 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
0.75 Intermediate Similarity NPC192334
0.75 Intermediate Similarity NPC60150
0.7111 Intermediate Similarity NPC134902
0.6559 Remote Similarity NPC25887
0.625 Remote Similarity NPC469381
0.5955 Remote Similarity NPC27335
0.5918 Remote Similarity NPC242451
0.5728 Remote Similarity NPC213697
0.5429 Remote Similarity NPC327664
0.5429 Remote Similarity NPC476097
0.5377 Remote Similarity NPC470426
0.5319 Remote Similarity NPC84865
0.5283 Remote Similarity NPC24599
0.5248 Remote Similarity NPC486811
0.5248 Remote Similarity NPC220757

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC254823 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