Natural Product: NPC148964

Natural Product IDNPC148964
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
19Alpha,24-Dihydroxyurs-12-En-3-On-28-Oic Acid
IUPAC Name (1R,2R,4aS,6aR,6aS,6bR,8aR,9S,12aR,14bS)-1-hydroxy-9-(hydroxymethyl)-1,2,6a,6b,9,12a-hexamethyl-10-oxo-3,4,5,6,6a,7,8,8a,11,12,13,14b-dodecahydro-2H-picene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL494111
PubChem CID 10600994
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 DICFMPCEXYENLE-OGHVSZAPSA-N
Standard InCHI InChI=1S/C30H46O5/c1-18-9-14-30(24(33)34)16-15-27(4)19(23(30)29(18,6)35)7-8-21-25(2)12-11-22(32)26(3,17-31)20(25)10-13-28(21,27)5/h7,18,20-21,23,31,35H,8-17H2,1-6H3,(H,33,34)/t18-,20-,21-,23-,25+,26-,27-,28-,29-,30+/m1/s1
SMILES OC[C@@]1(C)C(=O)CC[C@]2([C@H]1CC[C@@]1([C@@H]2CC=C2[C@@]1(C)CC[C@@]1([C@H]2[C@](C)(O)[C@@H](CC1)C)C(=O)O)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   486.33 Volume:   520.695
?
Van der Waals volume.
Dense:   0.934 LogP:   2.872
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.63
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.159
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   28.0
TPSA:   94.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.455 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.029 Fsp3:   0.867
MCE-18:   107.143
?
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:   0.575 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.107
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.322 Promiscuous compounds:   0.097

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.447 MDCK Permeability:   -5.085
Pgp-inhibitor:   0.001 Pgp-substrate:   0.004
PAMPA:   1.0
?
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%):   0.062 30% Bioavailability (F30%):   0.012
50% Bioavailability (F50%):   0.899

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.223 MRP1:   0.997
Plasma Protein Binding (PPB):   87.996% Volume Distribution (VD):   -0.412
Fu: 10.994%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.956 BCRP inhibitor:   0.006
BSEP inhibitor:   0.982

ADMET: Metabolism

CYP1A2-inhibitor:   0.007 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.126 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.657 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.995 CYP3A4-substrate:   0.016
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.034
HLM stability:   0.0
?
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):  3.332 Half-life (T1/2):  1.015

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.044
Human Hepatotoxicity (H-HT):  0.766 Drug-induced Liver Injury (DILI):  0.684
AMES Toxicity:  0.347 Rat Oral Acute Toxicity:  0.474
Maximum Recommended Daily Dose:  0.418 Skin Sensitization:  0.965
Carcinogencity:  0.96 Eye Corrosion:  0.006
Eye Irritation:  0.486 Respiratory Toxicity:  0.895
Drug-induced Neurotoxicity:  0.312 Ototoxicity:  0.624
Hematotoxicity:  0.572 Drug-induced Nephrotoxicity:  0.971
Genotoxicity:  0.982 RPMI-8226 Immunitoxicity:  0.05
A549 Cytotoxicity:  0.158 Hek293 Cytotoxicity:  0.235
BCF:   0.587
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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:   3.413
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.007
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.28
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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
NPO29554 Diospyros kaki Species Ebenaceae Eukaryota leaves n.a. n.a. PMID[18798681]
NPO29554 Diospyros kaki Species Ebenaceae Eukaryota Leaves n.a. n.a. PMID[3430165]
NPO27309 Rubus chroosepalus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29554 Diospyros kaki Species Ebenaceae Eukaryota n.a. n.a. Database[FooDB]
NPO27309 Rubus chroosepalus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27309 Rubus chroosepalus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO27309 Rubus chroosepalus Species Rosaceae 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens IC50 = 8100.0 nM PMID[18798681]

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 NPC148964 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
0.7353 Intermediate Similarity NPC202728
0.7353 Intermediate Similarity NPC173089
0.7353 Intermediate Similarity NPC158059
0.7353 Intermediate Similarity NPC136697
0.7246 Intermediate Similarity NPC191412
0.7246 Intermediate Similarity NPC114159
0.7246 Intermediate Similarity NPC6818
0.7206 Intermediate Similarity NPC158141
0.7143 Intermediate Similarity NPC62516
0.7042 Intermediate Similarity NPC187933
0.7042 Intermediate Similarity NPC157113
0.7 Intermediate Similarity NPC247139
0.6857 Remote Similarity NPC259733
0.6857 Remote Similarity NPC158371
0.6857 Remote Similarity NPC207922
0.6714 Remote Similarity NPC235053
0.6667 Remote Similarity NPC54909
0.6667 Remote Similarity NPC118964
0.6667 Remote Similarity NPC233012
0.6622 Remote Similarity NPC603658
0.6575 Remote Similarity NPC147232
0.6575 Remote Similarity NPC284865
0.6528 Remote Similarity NPC35239
0.6528 Remote Similarity NPC132824
0.6389 Remote Similarity NPC256247
0.6267 Remote Similarity NPC6255
0.6234 Remote Similarity NPC96693
0.6216 Remote Similarity NPC137072
0.6203 Remote Similarity NPC600756
0.6081 Remote Similarity NPC118519
0.6056 Remote Similarity NPC274050
0.6056 Remote Similarity NPC162632
0.6027 Remote Similarity NPC38754
0.6026 Remote Similarity NPC327179
0.5926 Remote Similarity NPC476890
0.5926 Remote Similarity NPC476889
0.5843 Remote Similarity NPC482052
0.5526 Remote Similarity NPC477288
0.5513 Remote Similarity NPC116457
0.5435 Remote Similarity NPC25491
0.5376 Remote Similarity NPC482049
0.5376 Remote Similarity NPC482050
0.5319 Remote Similarity NPC482051
0.5263 Remote Similarity NPC182797
0.5263 Remote Similarity NPC51700
0.5263 Remote Similarity NPC88716
0.5263 Remote Similarity NPC68160
0.5263 Remote Similarity NPC52169
0.5263 Remote Similarity NPC488562
0.5256 Remote Similarity NPC9613
0.52 Remote Similarity NPC201655
0.5195 Remote Similarity NPC61543
0.5195 Remote Similarity NPC293048
0.5195 Remote Similarity NPC225585
0.5195 Remote Similarity NPC88116
0.5195 Remote Similarity NPC37221
0.5132 Remote Similarity NPC480946
0.5132 Remote Similarity NPC187722
0.5132 Remote Similarity NPC130577
0.5132 Remote Similarity NPC142415
0.5132 Remote Similarity NPC102683
0.5128 Remote Similarity NPC291028
0.5128 Remote Similarity NPC32407
0.5128 Remote Similarity NPC293564
0.5128 Remote Similarity NPC263548
0.5128 Remote Similarity NPC606320
0.5125 Remote Similarity NPC324063
0.5065 Remote Similarity NPC270768
0.5065 Remote Similarity NPC59263
0.5065 Remote Similarity NPC263272
0.5065 Remote Similarity NPC210106
0.5065 Remote Similarity NPC229281
0.5065 Remote Similarity NPC121798
0.5065 Remote Similarity NPC234346
0.5063 Remote Similarity NPC193750
0.5051 Remote Similarity NPC481234
0.5051 Remote Similarity NPC479431

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC148964 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