Natural Product: NPC503035

Natural Product IDNPC503035
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S},4~{a}~{R},6~{S},6~{a}~{S},6~{b}~{R},8~{a}~{R},10~{S},12~{a}~{S},14~{b}~{R})-6-hydroxy-2,4~{a},6~{a},6~{b},9,9,12~{a}-heptamethyl-13-oxo-10-[(2~{R},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3,4,5,6,6~{a},7,8,8~{a},10,11,12,14~{b}-dodecahydro-1~{H}-picene-2-carboxylic acid
IUPAC Name (2~{S},4~{a}~{R},6~{S},6~{a}~{S},6~{b}~{R},8~{a}~{R},10~{S},12~{a}~{S},14~{b}~{R})-6-hydroxy-2,4~{a},6~{a},6~{b},9,9,12~{a}-heptamethyl-13-oxo-10-[(2~{R},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3,4,5,6,6~{a},7,8,8~{a},10,11,12,14~{b}-dodecahydro-1~{H}-picene-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 NCOFUONQAIFWRB-RXGOSNPMSA-N
Standard InCHI InChI=1S/C36H56O10/c1-31(2)22-8-11-35(6)28(34(22,5)10-9-24(31)46-29-27(42)26(41)25(40)21(17-37)45-29)20(38)14-18-19-15-33(4,30(43)44)13-12-32(19,3)16-23(39)36(18,35)7/h14,19,21-29,37,39-42H,8-13,15-17H2,1-7H3,(H,43,44)/t19-,21+,22-,23-,24-,25+,26-,27+,28?,29-,32+,33-,34-,35+,36-/m0/s1
SMILES CC1(C)[C@@H](O[C@@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O)CC[C@]2(C)C3C(=O)C=C4[C@@H]5C[C@@](C)(C(=O)O)CC[C@]5(C)C[C@H](O)[C@@]4(C)[C@]3(C)CC[C@@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   648.39 Volume:   659.866
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Van der Waals volume.
Dense:   0.983 LogP:   1.967
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.397
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.262
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   34.0
TPSA:   173.98
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.249 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.53 Fsp3:   0.889
MCE-18:   132.588
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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:   0.813 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.072
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.005
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.119 Promiscuous compounds:   0.305

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.06 MDCK Permeability:   -5.187
Pgp-inhibitor:   0.0 Pgp-substrate:   0.021
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):   0.0
20% Bioavailability (F20%):   0.021 30% Bioavailability (F30%):   0.046
50% Bioavailability (F50%):   0.959

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.218 MRP1:   0.68
Plasma Protein Binding (PPB):   81.009% Volume Distribution (VD):   -0.439
Fu: 14.856%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.23 BCRP inhibitor:   0.001
BSEP inhibitor:   0.045

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.992 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.002
HLM stability:   0.016
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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):  1.452 Half-life (T1/2):  2.217

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.012
Human Hepatotoxicity (H-HT):  0.79 Drug-induced Liver Injury (DILI):  0.852
AMES Toxicity:  0.667 Rat Oral Acute Toxicity:  0.093
Maximum Recommended Daily Dose:  0.134 Skin Sensitization:  1.0
Carcinogencity:  0.46 Eye Corrosion:  0.0
Eye Irritation:  0.033 Respiratory Toxicity:  0.136
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.965
Hematotoxicity:  0.579 Drug-induced Nephrotoxicity:  0.972
Genotoxicity:  0.91 RPMI-8226 Immunitoxicity:  0.122
A549 Cytotoxicity:  0.259 Hek293 Cytotoxicity:  0.118
BCF:   0.601
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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:   3.643
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.528
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.514
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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
NPO55845 Fungi n.a. n.a. 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

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 NPC503035 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
0.8214 Intermediate Similarity NPC471967
0.6489 Remote Similarity NPC482752
0.598 Remote Similarity NPC482747
0.598 Remote Similarity NPC202666
0.598 Remote Similarity NPC471961
0.598 Remote Similarity NPC482746
0.598 Remote Similarity NPC242015
0.5943 Remote Similarity NPC262199
0.5865 Remote Similarity NPC471965
0.5865 Remote Similarity NPC482749
0.581 Remote Similarity NPC14617
0.5688 Remote Similarity NPC482737
0.567 Remote Similarity NPC62696
0.5625 Remote Similarity NPC471962
0.5618 Remote Similarity NPC482712
0.5618 Remote Similarity NPC74751
0.5568 Remote Similarity NPC4036
0.5568 Remote Similarity NPC65120
0.5568 Remote Similarity NPC145067
0.5568 Remote Similarity NPC233455
0.5568 Remote Similarity NPC158030
0.5472 Remote Similarity NPC482741
0.5472 Remote Similarity NPC482745
0.5472 Remote Similarity NPC482743
0.5472 Remote Similarity NPC146753
0.5253 Remote Similarity NPC31839
0.5253 Remote Similarity NPC293038
0.5204 Remote Similarity NPC606107
0.5169 Remote Similarity NPC482736
0.5169 Remote Similarity NPC482738
0.51 Remote Similarity NPC102088
0.5044 Remote Similarity NPC247315
0.5044 Remote Similarity NPC482728

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC503035 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
0.598 Remote Similarity NPD8328 Phase 2
0.5618 Remote Similarity NPD7748 Pre-clinical
0.5568 Remote Similarity NPD7515 Phase 2
0.5319 Remote Similarity NPD7902 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