Natural Product: NPC235971

Natural Product IDNPC235971
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PIMHETLTQXNYHC-NQYXSTDPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 21576498
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones

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 PIMHETLTQXNYHC-NQYXSTDPSA-N
Standard InCHI InChI=1S/C27H34O8/c1-23(2)16-11-17(28)26(5)15(25(16,4)18(34-23)12-19(29)31-6)7-9-24(3)20(14-8-10-32-13-14)33-22(30)21-27(24,26)35-21/h8,10,13,15-16,18,20-21H,7,9,11-12H2,1-6H3/t15-,16+,18-,20+,21-,24+,25-,26+,27-/m1/s1
SMILES CC1(C)[C@@H]2CC(=O)[C@]3(C)[C@H](CC[C@@]4(C)[C@H](c5ccoc5)OC(=O)[C@@H]5[C@]34O5)[C@@]2(C)[C@@H](CC(=O)OC)O1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   486.23 Volume:   481.349
?
Van der Waals volume.
Dense:   1.01 LogP:   1.382
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.687
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.431
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   30.0
TPSA:   104.57
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.47 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.667 Fsp3:   0.741
MCE-18:   191.234
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.36 Fluc inhibitor:   0.018
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.008
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.168 Promiscuous compounds:   0.061

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.207 MDCK Permeability:   -4.944
Pgp-inhibitor:   0.895 Pgp-substrate:   0.046
PAMPA:   0.683
?
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):   0.007
20% Bioavailability (F20%):   0.16 30% Bioavailability (F30%):   0.133
50% Bioavailability (F50%):   0.647

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.041 MRP1:   0.98
Plasma Protein Binding (PPB):   87.585% Volume Distribution (VD):   0.138
Fu: 10.21%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.978
OATP1B3 inhibitor:   0.926 BCRP inhibitor:   0.092
BSEP inhibitor:   0.977

ADMET: Metabolism

CYP1A2-inhibitor:   0.01 CYP1A2-substrate:   0.017
CYP2C19-inhibitor:   0.981 CYP2C19-substrate:   0.053
CYP2C9-inhibitor:   0.4 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.02
CYP3A4-inhibitor:   0.005 CYP3A4-substrate:   0.842
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.41
HLM stability:   0.913
?
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):  8.772 Half-life (T1/2):  1.174

ADMET: Toxicity

hERG Blockers:  0.066 hERG Blockers (10um):  0.4
Human Hepatotoxicity (H-HT):  0.69 Drug-induced Liver Injury (DILI):  0.761
AMES Toxicity:  0.653 Rat Oral Acute Toxicity:  0.92
Maximum Recommended Daily Dose:  0.947 Skin Sensitization:  0.92
Carcinogencity:  0.605 Eye Corrosion:  0.007
Eye Irritation:  0.928 Respiratory Toxicity:  0.712
Drug-induced Neurotoxicity:  0.571 Ototoxicity:  0.565
Hematotoxicity:  0.424 Drug-induced Nephrotoxicity:  0.818
Genotoxicity:  0.985 RPMI-8226 Immunitoxicity:  0.237
A549 Cytotoxicity:  0.009 Hek293 Cytotoxicity:  0.039
BCF:   0.845
?
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:   3.636
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.532
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.949
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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
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. fruit n.a. PMID[10820058]
NPO22654 Millettia pachycarpa Species Fabaceae Eukaryota n.a. leaf n.a. PMID[16441086]
NPO16519 Persea americana Species Lauraceae Eukaryota Unripe fruit n.a. n.a. PMID[9644064]
NPO23009 Udotea flabellum Species Udoteaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22906 Bouchardatia neurococca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22962 Coussarea hydrangeifolia Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22654 Millettia pachycarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. Database[FooDB]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. Database[FooDB]
NPO16519 Persea americana Species Lauraceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO16519 Persea americana Species Lauraceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO22654 Millettia pachycarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO22654 Millettia pachycarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22654 Millettia pachycarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23009 Udotea flabellum Species Udoteaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20117 Leucas lanata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4954 Eleutherococcus divaricatus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22654 Millettia pachycarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22779 Sphagnum magellanicum Species Sphagnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10669 Cousinia pterocaulos Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22962 Coussarea hydrangeifolia Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29067 Spondias dulcis Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3683.1 Pteridium aquilinum subsp. latiusculum Subspecies Dennstaedtiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16519 Persea americana Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22204 Tylostylis discolor n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO22906 Bouchardatia neurococca Species Rutaceae 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 NPC235971 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
0.8133 Intermediate Similarity NPC237155
0.7662 Intermediate Similarity NPC305016
0.7662 Intermediate Similarity NPC476861
0.7662 Intermediate Similarity NPC476850
0.6709 Remote Similarity NPC470939
0.6623 Remote Similarity NPC604270
0.6543 Remote Similarity NPC263265
0.625 Remote Similarity NPC60973
0.625 Remote Similarity NPC605384
0.6235 Remote Similarity NPC476853
0.619 Remote Similarity NPC472653
0.6136 Remote Similarity NPC123088
0.6092 Remote Similarity NPC25255
0.6047 Remote Similarity NPC476856
0.5862 Remote Similarity NPC193798
0.5862 Remote Similarity NPC117986
0.5795 Remote Similarity NPC604177
0.5618 Remote Similarity NPC476858
0.5595 Remote Similarity NPC107646
0.5476 Remote Similarity NPC602263
0.5349 Remote Similarity NPC134254
0.5349 Remote Similarity NPC39986
0.5341 Remote Similarity NPC475381
0.5341 Remote Similarity NPC476857
0.5281 Remote Similarity NPC23387
0.5281 Remote Similarity NPC126723
0.5227 Remote Similarity NPC209364
0.5227 Remote Similarity NPC605015
0.5213 Remote Similarity NPC472651
0.5172 Remote Similarity NPC335761
0.5169 Remote Similarity NPC609366
0.5114 Remote Similarity NPC302369
0.5114 Remote Similarity NPC470941
0.5114 Remote Similarity NPC5079
0.5054 Remote Similarity NPC159232

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC235971 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