Natural Product: NPC54909

Natural Product IDNPC54909
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2 Alpha-Acetyl Tomentic Acid
IUPAC Name (1R,2R,4aS,6aR,6aS,6bR,8aR,10R,11R,12aR,14bS)-11-acetyloxy-1,10-dihydroxy-1,2,6a,6b,9,9,12a-heptamethyl-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms 2 Alpha-Acetyl Tomentic Acid
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL439053
PubChem CID 44436803
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 HHDNTTOUNUERTJ-BGJCYSRJSA-N
Standard InCHI InChI=1S/C32H50O6/c1-18-11-14-32(26(35)36)16-15-29(6)20(24(32)31(18,8)37)9-10-23-28(5)17-21(38-19(2)33)25(34)27(3,4)22(28)12-13-30(23,29)7/h9,18,21-25,34,37H,10-17H2,1-8H3,(H,35,36)/t18-,21-,22+,23-,24-,25+,28+,29-,30-,31-,32+/m1/s1
SMILES C[C@@H]1CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)C[C@H]([C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)OC(=O)C)[C@@H]2[C@]1(C)O)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   530.36 Volume:   564.078
?
Van der Waals volume.
Dense:   0.94 LogP:   2.811
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.779
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.451
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   28.0
TPSA:   104.06
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.31 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.101 Fsp3:   0.875
MCE-18:   112.0
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.839 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:   0.037
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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
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.274 Promiscuous compounds:   0.212

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.068 MDCK Permeability:   -4.82
Pgp-inhibitor:   0.04 Pgp-substrate:   0.003
PAMPA:   0.997
?
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):   0.004
20% Bioavailability (F20%):   0.625 30% Bioavailability (F30%):   0.434
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.01 MRP1:   0.849
Plasma Protein Binding (PPB):   78.325% Volume Distribution (VD):   -0.324
Fu: 18.888%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.986 BCRP inhibitor:   0.521
BSEP inhibitor:   0.987

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.021 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.266
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.957
HLM stability:   0.001
?
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):  4.554 Half-life (T1/2):  1.184

ADMET: Toxicity

hERG Blockers:  0.028 hERG Blockers (10um):  0.068
Human Hepatotoxicity (H-HT):  0.538 Drug-induced Liver Injury (DILI):  0.372
AMES Toxicity:  0.157 Rat Oral Acute Toxicity:  0.175
Maximum Recommended Daily Dose:  0.258 Skin Sensitization:  0.673
Carcinogencity:  0.745 Eye Corrosion:  0.005
Eye Irritation:  0.237 Respiratory Toxicity:  0.517
Drug-induced Neurotoxicity:  0.01 Ototoxicity:  0.642
Hematotoxicity:  0.275 Drug-induced Nephrotoxicity:  0.664
Genotoxicity:  0.171 RPMI-8226 Immunitoxicity:  0.025
A549 Cytotoxicity:  0.053 Hek293 Cytotoxicity:  0.131
BCF:   0.974
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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:   3.885
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.646
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.771
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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
NPO20072 Verbascum dudleyanum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5696 Premna fulva Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6660 Cecropia lyratiloba Species Urticaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1029 Vernonia jalcana Species Asteraceae 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
NPT111 Cell line K562 Homo sapiens IC50 = 38350.0 nM PMID[17889544]
NPT1215 Cell line 8505C Homo sapiens IC50 > 30000.0 nM PMID[22995818]
NPT179 Cell line A2780 Homo sapiens IC50 = 24300.0 nM PMID[22995818]
NPT81 Cell line A549 Homo sapiens IC50 > 30000.0 nM PMID[22995818]
NPT579 Cell line DLD-1 Homo sapiens IC50 > 30000.0 nM PMID[22995818]
NPT83 Cell line MCF7 Homo sapiens IC50 = 25300.0 nM PMID[22995818]
NPT886 Cell line NIH3T3 Mus musculus IC50 > 30000.0 nM PMID[22995818]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 41380.0 nM PMID[17889544]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 30000.0 nM PMID[22995818]

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 NPC54909 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
0.7333 Intermediate Similarity NPC233012
0.7324 Intermediate Similarity NPC202728
0.7324 Intermediate Similarity NPC158059
0.7083 Intermediate Similarity NPC259733
0.7083 Intermediate Similarity NPC158371
0.7083 Intermediate Similarity NPC207922
0.7027 Intermediate Similarity NPC157113
0.6849 Remote Similarity NPC136697
0.6667 Remote Similarity NPC327179
0.6667 Remote Similarity NPC118964
0.6667 Remote Similarity NPC62516
0.6667 Remote Similarity NPC148964
0.6579 Remote Similarity NPC187933
0.6533 Remote Similarity NPC191412
0.6533 Remote Similarity NPC114159
0.6533 Remote Similarity NPC247139
0.6533 Remote Similarity NPC6818
0.641 Remote Similarity NPC603658
0.64 Remote Similarity NPC256247
0.6364 Remote Similarity NPC284865
0.6316 Remote Similarity NPC35239
0.6316 Remote Similarity NPC132824
0.625 Remote Similarity NPC96693
0.6104 Remote Similarity NPC118519
0.6053 Remote Similarity NPC235053
0.5949 Remote Similarity NPC147232
0.587 Remote Similarity NPC482052
0.5833 Remote Similarity NPC600756
0.5823 Remote Similarity NPC137072
0.5806 Remote Similarity NPC25491
0.5684 Remote Similarity NPC482051
0.5638 Remote Similarity NPC132126
0.56 Remote Similarity NPC481235
0.5542 Remote Similarity NPC230151
0.5417 Remote Similarity NPC482049
0.5417 Remote Similarity NPC482050
0.54 Remote Similarity NPC481234
0.54 Remote Similarity NPC479431
0.5316 Remote Similarity NPC51700
0.5316 Remote Similarity NPC88716
0.5316 Remote Similarity NPC68160
0.525 Remote Similarity NPC71074
0.525 Remote Similarity NPC37221
0.525 Remote Similarity NPC605937
0.5208 Remote Similarity NPC479744
0.519 Remote Similarity NPC480946
0.519 Remote Similarity NPC187722
0.519 Remote Similarity NPC130577
0.519 Remote Similarity NPC142415
0.519 Remote Similarity NPC102683
0.5185 Remote Similarity NPC293564
0.5181 Remote Similarity NPC296164
0.5125 Remote Similarity NPC182797
0.5125 Remote Similarity NPC84319
0.5125 Remote Similarity NPC52021
0.5125 Remote Similarity NPC52169
0.5125 Remote Similarity NPC488562
0.5125 Remote Similarity NPC599947
0.5062 Remote Similarity NPC472149
0.506 Remote Similarity NPC25299
0.506 Remote Similarity NPC481322

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC54909 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