Natural Product: NPC487395

Natural Product IDNPC487395
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VDCIZHNJZDCCAB-ORJPLPFJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002106] Anthracyclines

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 VDCIZHNJZDCCAB-ORJPLPFJSA-N
Standard InCHI InChI=1S/C40H50O15/c1-6-40(48)16-25(30-31(34(40)39(47)49-5)38(46)32-33(37(30)45)36(44)29-20(35(32)43)8-7-9-22(29)42)55-28-15-12-24(19(4)52-28)54-27-14-11-23(18(3)51-27)53-26-13-10-21(41)17(2)50-26/h7-9,17-19,21,23-28,34,41-42,45-46,48H,6,10-16H2,1-5H3/t17-,18-,19-,21-,23-,24-,25-,26-,27-,28-,34-,40+/m0/s1
SMILES CC[C@]1(C[C@@H](c2c([C@H]1C(=O)OC)c(c1c(C(=O)c3c(cccc3O)C1=O)c2O)O)O[C@H]1CC[C@@H]([C@H](C)O1)O[C@H]1CC[C@@H]([C@H](C)O1)O[C@H]1CC[C@@H]([C@H](C)O1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   770.31 Volume:   748.626
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Van der Waals volume.
Dense:   1.029 LogP:   3.64
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.429
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.705
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   42.0
TPSA:   216.97
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   5.0 Rings:   7.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.161 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.711 Fsp3:   0.625
MCE-18:   168.477
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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:   1
Colloidal aggregators:   0.686 Fluc inhibitor:   0.21
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.343
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.578
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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:   0.943

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.495 MDCK Permeability:   -5.025
Pgp-inhibitor:   0.538 Pgp-substrate:   0.999
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):   0.079
20% Bioavailability (F20%):   0.17 30% Bioavailability (F30%):   0.92
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.992
Plasma Protein Binding (PPB):   93.854% Volume Distribution (VD):   1.145
Fu: 8.346%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.565
BSEP inhibitor:   0.816

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.688 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.076 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.066
CYP3A4-inhibitor:   0.987 CYP3A4-substrate:   0.919
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.048
HLM stability:   0.079
?
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):  8.747 Half-life (T1/2):  4.376

ADMET: Toxicity

hERG Blockers:  0.189 hERG Blockers (10um):  0.585
Human Hepatotoxicity (H-HT):  0.986 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.999 Rat Oral Acute Toxicity:  0.987
Maximum Recommended Daily Dose:  0.999 Skin Sensitization:  1.0
Carcinogencity:  0.725 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.972
Drug-induced Neurotoxicity:  0.154 Ototoxicity:  0.993
Hematotoxicity:  0.974 Drug-induced Nephrotoxicity:  0.97
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.917
A549 Cytotoxicity:  1.0 Hek293 Cytotoxicity:  0.994
BCF:   0.815
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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:   3.713
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.479
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.688
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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
NPO40642 Streptomyces sp. SCSIO 1666/17C4 Strain Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[29767975]

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
NPT400 Cell line MDA-MB-435 Homo sapiens IC50 = 2700.0 nM PMID[29767975]
NPT397 Cell line NCI-H460 Homo sapiens IC50 = 10000.0 nM PMID[29767975]
NPT82 Cell line MDA-MB-231 Homo sapiens IC50 = 4500.0 nM PMID[29767975]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 200.0 nM PMID[29767975]
NPT65 Cell line HepG2 Homo sapiens IC50 = 1700.0 nM PMID[29767975]
NPT2257 Cell line MCF-10A Homo sapiens IC50 = 1400.0 nM PMID[29767975]

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 NPC487395 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
0.9136 High Similarity NPC487383
0.7349 Intermediate Similarity NPC603758
0.6556 Remote Similarity NPC487384
0.6444 Remote Similarity NPC487385
0.6444 Remote Similarity NPC487387
0.6374 Remote Similarity NPC487386
0.6 Remote Similarity NPC487389
0.5978 Remote Similarity NPC604442
0.5833 Remote Similarity NPC487394
0.5824 Remote Similarity NPC487388
0.5761 Remote Similarity NPC487390
0.5631 Remote Similarity NPC484443
0.5421 Remote Similarity NPC611804
0.5263 Remote Similarity NPC487391
0.5263 Remote Similarity NPC487392
0.5213 Remote Similarity NPC605190
0.5155 Remote Similarity NPC487393
0.5122 Remote Similarity NPC218870
0.505 Remote Similarity NPC604609

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC487395 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
0.5421 Remote Similarity NPD8319 Approved
0.5421 Remote Similarity NPD8320 Phase 3

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