Natural Product: NPC285982

Natural Product IDNPC285982
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Aglaiabbreviatin A
IUPAC Name (5S)-5-methyl-5-[(5R,8R,9R,10R,13R,14R,17S)-4,4,8,10,14-pentamethyl-3-oxo-1,2,5,6,7,9,11,12,13,15,16,17-dodecahydrocyclopenta[a]phenanthren-17-yl]furan-2-one
Synonyms Aglaiabbreviatin A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1651320
PubChem CID 50908214
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 JRGYNXKJYVLQBR-QPBHWVAKSA-N
Standard InCHI InChI=1S/C27H40O3/c1-23(2)19-10-15-26(5)20(24(19,3)13-11-21(23)28)8-7-17-18(9-14-25(17,26)4)27(6)16-12-22(29)30-27/h12,16-20H,7-11,13-15H2,1-6H3/t17-,18+,19+,20-,24+,25-,26-,27+/m1/s1
SMILES CC1(C)[C@@H]2CC[C@]3(C)[C@H](CC[C@@H]4[C@H](CC[C@@]34C)[C@]3(C)C=CC(=O)O3)[C@@]2(C)CCC1=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   412.3 Volume:   451.227
?
Van der Waals volume.
Dense:   0.914 LogP:   4.066
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.676
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.155
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   43.37
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.488 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.705 Fsp3:   0.852
MCE-18:   96.48
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.799 Fluc inhibitor:   0.052
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
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:   0.615 Promiscuous compounds:   0.267

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.936 MDCK Permeability:   -4.939
Pgp-inhibitor:   0.915 Pgp-substrate:   0.0
PAMPA:   0.053
?
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):   0.001
20% Bioavailability (F20%):   0.034 30% Bioavailability (F30%):   0.047
50% Bioavailability (F50%):   0.823

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.459 MRP1:   0.636
Plasma Protein Binding (PPB):   93.429% Volume Distribution (VD):   0.407
Fu: 6.634%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.766
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.193 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.459
?
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):  11.859 Half-life (T1/2):  0.447

ADMET: Toxicity

hERG Blockers:  0.137 hERG Blockers (10um):  0.413
Human Hepatotoxicity (H-HT):  0.609 Drug-induced Liver Injury (DILI):  0.37
AMES Toxicity:  0.26 Rat Oral Acute Toxicity:  0.497
Maximum Recommended Daily Dose:  0.835 Skin Sensitization:  0.989
Carcinogencity:  0.94 Eye Corrosion:  0.735
Eye Irritation:  0.972 Respiratory Toxicity:  0.85
Drug-induced Neurotoxicity:  0.32 Ototoxicity:  0.249
Hematotoxicity:  0.437 Drug-induced Nephrotoxicity:  0.835
Genotoxicity:  0.876 RPMI-8226 Immunitoxicity:  0.047
A549 Cytotoxicity:  0.046 Hek293 Cytotoxicity:  0.703
BCF:   1.684
?
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:   4.253
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.438
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.108
?
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
NPO7602 Aglaia abbreviata Species Meliaceae Eukaryota n.a. stem n.a. PMID[21087017]
NPO7602 Aglaia abbreviata Species Meliaceae Eukaryota n.a. n.a. n.a. PMID[21087017]
NPO7602 Aglaia abbreviata Species Meliaceae 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
NPT83 Cell line MCF7 Homo sapiens IC50 > 10000.0 nM PMID[21087017]
NPT91 Cell line KB Homo sapiens IC50 > 10000.0 nM PMID[21087017]
NPT659 Cell line SMMC-7721 Homo sapiens IC50 > 10000.0 nM PMID[21087017]
NPT111 Cell line K562 Homo sapiens IC50 > 10000.0 nM PMID[21087017]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[21087017]
NPT2 Others Unspecified n.a. IC50 > 10000 nM PMID[21087017]

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 NPC285982 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
0.6852 Remote Similarity NPC197701
0.6607 Remote Similarity NPC201725
0.6491 Remote Similarity NPC137493
0.6491 Remote Similarity NPC92139
0.6491 Remote Similarity NPC302280
0.5738 Remote Similarity NPC245029
0.5738 Remote Similarity NPC31302
0.5385 Remote Similarity NPC483719
0.5323 Remote Similarity NPC63020
0.5254 Remote Similarity NPC43300
0.5231 Remote Similarity NPC475700
0.5179 Remote Similarity NPC473225
0.5161 Remote Similarity NPC215843
0.5082 Remote Similarity NPC604288

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC285982 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