Natural Product: NPC125881

Natural Product IDNPC125881
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WBWUKXBPKMFLHV-CXLVWPLDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101630630
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides

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 WBWUKXBPKMFLHV-CXLVWPLDSA-N
Standard InCHI InChI=1S/C33H54O13/c1-15(35)18-8-11-33(42)20-5-4-16-12-17(6-9-31(16,2)19(20)7-10-32(18,33)3)44-30-28(41)26(39)24(37)22(46-30)14-43-29-27(40)25(38)23(36)21(13-34)45-29/h16-30,34,36-42H,4-14H2,1-3H3/t16-,17-,18+,19-,20+,21+,22+,23+,24+,25-,26-,27+,28+,29+,30+,31-,32+,33-/m0/s1
SMILES CC(=O)[C@H]1CC[C@@]2([C@@H]3CC[C@H]4C[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   658.36 Volume:   639.622
?
Van der Waals volume.
Dense:   1.029 LogP:   1.095
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.775
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.882
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   33.0
TPSA:   215.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.16 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.43 Fsp3:   0.97
MCE-18:   121.723
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.607 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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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
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.271 Promiscuous compounds:   0.292

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.411 MDCK Permeability:   -5.083
Pgp-inhibitor:   0.0 Pgp-substrate:   0.741
PAMPA:   0.984
?
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):   0.051
20% Bioavailability (F20%):   0.039 30% Bioavailability (F30%):   0.899
50% Bioavailability (F50%):   0.857

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.012 MRP1:   0.055
Plasma Protein Binding (PPB):   60.226% Volume Distribution (VD):   -0.426
Fu: 31.335%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.009
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.102 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.167 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.995 CYP3A4-substrate:   0.197
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.461
HLM stability:   0.041
?
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):  1.082 Half-life (T1/2):  3.035

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.06
Human Hepatotoxicity (H-HT):  0.647 Drug-induced Liver Injury (DILI):  0.543
AMES Toxicity:  0.853 Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.086 Skin Sensitization:  1.0
Carcinogencity:  0.496 Eye Corrosion:  0.0
Eye Irritation:  0.011 Respiratory Toxicity:  0.02
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.99
Hematotoxicity:  0.443 Drug-induced Nephrotoxicity:  0.861
Genotoxicity:  0.347 RPMI-8226 Immunitoxicity:  0.091
A549 Cytotoxicity:  0.55 Hek293 Cytotoxicity:  0.754
BCF:   1.085
?
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:   3.215
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.306
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.687
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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
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12987 Rhododendron farrerae Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12987 Rhododendron farrerae Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18054 Curvularia coicis Species Pleosporaceae 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 NPC125881 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
0.7561 Intermediate Similarity NPC30483
0.7561 Intermediate Similarity NPC470897
0.6889 Remote Similarity NPC479357
0.6739 Remote Similarity NPC486144
0.6739 Remote Similarity NPC486145
0.6739 Remote Similarity NPC486147
0.6739 Remote Similarity NPC486148
0.6707 Remote Similarity NPC5311
0.6559 Remote Similarity NPC479358
0.6559 Remote Similarity NPC475590
0.6452 Remote Similarity NPC479360
0.6452 Remote Similarity NPC479359
0.6421 Remote Similarity NPC475419
0.6354 Remote Similarity NPC474908
0.6354 Remote Similarity NPC486134
0.6354 Remote Similarity NPC486141
0.6222 Remote Similarity NPC479353
0.6222 Remote Similarity NPC479354
0.6162 Remote Similarity NPC474423
0.6111 Remote Similarity NPC236973
0.6111 Remote Similarity NPC292467
0.6087 Remote Similarity NPC486143
0.6087 Remote Similarity NPC486142
0.6087 Remote Similarity NPC486149
0.6061 Remote Similarity NPC488945
0.6061 Remote Similarity NPC488946
0.5882 Remote Similarity NPC99620
0.5876 Remote Similarity NPC486136
0.5842 Remote Similarity NPC488947
0.5806 Remote Similarity NPC231518
0.5806 Remote Similarity NPC488944
0.5747 Remote Similarity NPC77299
0.5747 Remote Similarity NPC480906
0.5682 Remote Similarity NPC480914
0.5625 Remote Similarity NPC486146
0.5591 Remote Similarity NPC40749
0.549 Remote Similarity NPC486150
0.5474 Remote Similarity NPC488941
0.5474 Remote Similarity NPC488940
0.5455 Remote Similarity NPC488943
0.5455 Remote Similarity NPC488942
0.5446 Remote Similarity NPC120390
0.5435 Remote Similarity NPC480907
0.5435 Remote Similarity NPC20028
0.5376 Remote Similarity NPC80191
0.5368 Remote Similarity NPC480910
0.5368 Remote Similarity NPC240070
0.5368 Remote Similarity NPC480909
0.5357 Remote Similarity NPC246399
0.5357 Remote Similarity NPC34977
0.5357 Remote Similarity NPC221196
0.5333 Remote Similarity NPC76572
0.5333 Remote Similarity NPC193382
0.5294 Remote Similarity NPC74259
0.5263 Remote Similarity NPC32177
0.5263 Remote Similarity NPC469756
0.5263 Remote Similarity NPC275901
0.5258 Remote Similarity NPC486135
0.5258 Remote Similarity NPC486137
0.5208 Remote Similarity NPC188234
0.5208 Remote Similarity NPC310031
0.5204 Remote Similarity NPC232785
0.5204 Remote Similarity NPC486139
0.52 Remote Similarity NPC475219
0.5172 Remote Similarity NPC39485
0.5165 Remote Similarity NPC65550
0.5165 Remote Similarity NPC172838
0.5149 Remote Similarity NPC488938
0.5149 Remote Similarity NPC488937
0.5102 Remote Similarity NPC208193
0.5055 Remote Similarity NPC469750
0.505 Remote Similarity NPC486131

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC125881 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
0.5806 Remote Similarity NPD8033 Approved

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