Natural Product: NPC220214

Natural Product IDNPC220214
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VGOZKGCKBLEHMS-OBJIMVFSSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102000761
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0000059] Coumaric acids 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 VGOZKGCKBLEHMS-OBJIMVFSSA-N
Standard InCHI InChI=1S/C30H38O16/c1-13-23(36)25(38)26(39)30(44-13)46-28-24(37)21(12-42-22(35)8-4-14-3-6-17(32)20(9-14)41-2)45-29(27(28)40)43-11-19(34)15-5-7-16(31)18(33)10-15/h3-10,13,19,21,23-34,36-40H,11-12H2,1-2H3/b8-4+/t13-,19-,21+,23-,24+,25+,26+,27+,28-,29+,30-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@H]1[C@@H]([C@@H](COC(=O)/C=C/c2ccc(c(c2)OC)O)O[C@H]([C@@H]1O)OC[C@@H](c1ccc(c(c1)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   654.22 Volume:   612.762
?
Van der Waals volume.
Dense:   1.068 LogP:   -0.171
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.74
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.587
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   26.0
TPSA:   254.52
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   9.0 Rings:   4.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.078 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.827 Fsp3:   0.5
MCE-18:   103.333
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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:   1 PAINS Alert:   1
Colloidal aggregators:   0.685 Fluc inhibitor:   0.665
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.138
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.53
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.171 Promiscuous compounds:   0.305

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.441 MDCK Permeability:   -5.36
Pgp-inhibitor:   0.0 Pgp-substrate:   0.459
PAMPA:   0.989
?
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):   0.651
20% Bioavailability (F20%):   0.994 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.004
Plasma Protein Binding (PPB):   69.711% Volume Distribution (VD):   -0.382
Fu: 28.192%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.051
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.976
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.995
HLM stability:   0.161
?
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):  1.364 Half-life (T1/2):  3.526

ADMET: Toxicity

hERG Blockers:  0.022 hERG Blockers (10um):  0.448
Human Hepatotoxicity (H-HT):  0.278 Drug-induced Liver Injury (DILI):  0.452
AMES Toxicity:  0.812 Rat Oral Acute Toxicity:  0.027
Maximum Recommended Daily Dose:  0.077 Skin Sensitization:  0.999
Carcinogencity:  0.028 Eye Corrosion:  0.0
Eye Irritation:  0.404 Respiratory Toxicity:  0.014
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.913
Hematotoxicity:  0.027 Drug-induced Nephrotoxicity:  0.608
Genotoxicity:  0.262 RPMI-8226 Immunitoxicity:  0.143
A549 Cytotoxicity:  0.815 Hek293 Cytotoxicity:  0.27
BCF:   0.49
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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:   3.116
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.93
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.048
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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
NPO4203 Phlomoides rotata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4203 Phlomoides rotata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4203 Phlomoides rotata Species Lamiaceae 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 NPC220214 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
0.7363 Intermediate Similarity NPC600370
0.6374 Remote Similarity NPC64141
0.6214 Remote Similarity NPC476398
0.5978 Remote Similarity NPC235294
0.5833 Remote Similarity NPC188393
0.5684 Remote Similarity NPC205195
0.5684 Remote Similarity NPC476868
0.5591 Remote Similarity NPC291296
0.5567 Remote Similarity NPC262182
0.5567 Remote Similarity NPC476865
0.5532 Remote Similarity NPC471405
0.551 Remote Similarity NPC83743
0.5446 Remote Similarity NPC173343
0.5437 Remote Similarity NPC100998
0.5417 Remote Similarity NPC226005
0.54 Remote Similarity NPC300262
0.5333 Remote Similarity NPC259347
0.5294 Remote Similarity NPC125823
0.5294 Remote Similarity NPC7145
0.5294 Remote Similarity NPC143480
0.5288 Remote Similarity NPC201148
0.5258 Remote Similarity NPC476869
0.5243 Remote Similarity NPC3460
0.5233 Remote Similarity NPC157554
0.5229 Remote Similarity NPC470933
0.5217 Remote Similarity NPC157898
0.5146 Remote Similarity NPC287615
0.5146 Remote Similarity NPC34587
0.5143 Remote Similarity NPC34927
0.5094 Remote Similarity NPC232992
0.5052 Remote Similarity NPC476867
0.5051 Remote Similarity NPC488082
0.505 Remote Similarity NPC265648
0.5048 Remote Similarity NPC476397

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC220214 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