Natural Product: NPC12036

Natural Product IDNPC12036
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UUURWWVPMHAACP-KYJUHHDHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 100230
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds

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 UUURWWVPMHAACP-KYJUHHDHSA-N
Standard InCHI InChI=1S/C38H42N2O6/c1-39-15-13-25-20-34-32(42-4)22-28(25)29(39)17-23-7-10-27(11-8-23)45-33-19-24(9-12-31(33)41-3)18-30-36-26(14-16-40(30)2)21-35(43-5)37(44-6)38(36)46-34/h7-12,19-22,29-30H,13-18H2,1-6H3/t29-,30-/m0/s1
SMILES CN1CCc2cc3c(cc2[C@@H]1Cc1ccc(cc1)Oc1cc(ccc1OC)C[C@H]1c2c(CCN1C)cc(c(c2O3)OC)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   622.3 Volume:   649.006
?
Van der Waals volume.
Dense:   0.959 LogP:   3.624
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.224
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.742
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   42.0
TPSA:   61.86
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   9.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.238 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.879 Fsp3:   0.368
MCE-18:   129.0
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.997 Fluc inhibitor:   0.14
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.683
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.89
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.283

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.613 MDCK Permeability:   -4.668
Pgp-inhibitor:   0.927 Pgp-substrate:   0.524
PAMPA:   0.001
?
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%):   0.466 30% Bioavailability (F30%):   0.377
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.952 MRP1:   0.973
Plasma Protein Binding (PPB):   75.204% Volume Distribution (VD):   0.144
Fu: 23.596%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.957
OATP1B3 inhibitor:   0.986 BCRP inhibitor:   0.945
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.993 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.05
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.213
CYP2B6-substrate:   0.979 CYP2C8-inhibitor:   0.144
HLM stability:   0.555
?
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):  9.283 Half-life (T1/2):  2.601

ADMET: Toxicity

hERG Blockers:  0.844 hERG Blockers (10um):  0.832
Human Hepatotoxicity (H-HT):  0.582 Drug-induced Liver Injury (DILI):  0.012
AMES Toxicity:  0.643 Rat Oral Acute Toxicity:  0.603
Maximum Recommended Daily Dose:  0.95 Skin Sensitization:  0.65
Carcinogencity:  0.806 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.728
Drug-induced Neurotoxicity:  0.889 Ototoxicity:  0.52
Hematotoxicity:  0.102 Drug-induced Nephrotoxicity:  0.303
Genotoxicity:  0.291 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.142 Hek293 Cytotoxicity:  0.641
BCF:   2.255
?
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:   4.524
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.995
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.346
?
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
NPO11635 Thalictrum minus Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[10924164]
NPO4520 Allium macrostemon Species Amaryllidaceae Eukaryota n.a. leaf n.a. PMID[26434122]
NPO11635 Thalictrum minus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2114.1 Thalictrum minus var. hypoleucum Varieties Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4520 Allium macrostemon Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4520 Allium macrostemon Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11635 Thalictrum minus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2114.1 Thalictrum minus var. hypoleucum Varieties Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2596 Berberis laurina Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2114.1 Thalictrum minus var. hypoleucum Varieties Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11635 Thalictrum minus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4520 Allium macrostemon Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11635 Thalictrum minus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4520 Allium macrostemon Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2596 Berberis laurina Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4520 Allium macrostemon Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11635 Thalictrum minus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2114.1 Thalictrum minus var. hypoleucum Varieties Ranunculaceae 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 NPC12036 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
1.0 High Similarity NPC276890
0.9516 High Similarity NPC76682
0.9516 High Similarity NPC10908
0.9516 High Similarity NPC63646
0.9516 High Similarity NPC317145
0.9516 High Similarity NPC198498
0.9516 High Similarity NPC115284
0.8358 Intermediate Similarity NPC227060
0.8261 Intermediate Similarity NPC73492
0.8261 Intermediate Similarity NPC299990
0.8261 Intermediate Similarity NPC480587
0.8235 Intermediate Similarity NPC12424
0.8235 Intermediate Similarity NPC129518
0.8235 Intermediate Similarity NPC251580
0.8065 Intermediate Similarity NPC247639
0.8065 Intermediate Similarity NPC25084
0.7857 Intermediate Similarity NPC603853
0.7671 Intermediate Similarity NPC185639
0.7671 Intermediate Similarity NPC251735
0.7671 Intermediate Similarity NPC49075
0.7671 Intermediate Similarity NPC599951
0.7581 Intermediate Similarity NPC317439
0.7534 Intermediate Similarity NPC311973
0.75 Intermediate Similarity NPC290582
0.75 Intermediate Similarity NPC217748
0.75 Intermediate Similarity NPC182052
0.75 Intermediate Similarity NPC271013
0.75 Intermediate Similarity NPC42663
0.75 Intermediate Similarity NPC15414
0.7432 Intermediate Similarity NPC116465
0.7432 Intermediate Similarity NPC223690
0.7432 Intermediate Similarity NPC9532
0.7397 Intermediate Similarity NPC279228
0.72 Intermediate Similarity NPC254441
0.7105 Intermediate Similarity NPC229373
0.7067 Intermediate Similarity NPC239824
0.7051 Intermediate Similarity NPC475479
0.7051 Intermediate Similarity NPC323537
0.6944 Remote Similarity NPC41376
0.6849 Remote Similarity NPC603603
0.675 Remote Similarity NPC24260
0.675 Remote Similarity NPC485712
0.6709 Remote Similarity NPC195538
0.6707 Remote Similarity NPC480590
0.6625 Remote Similarity NPC243454
0.6585 Remote Similarity NPC10871
0.6506 Remote Similarity NPC480586
0.65 Remote Similarity NPC16357
0.65 Remote Similarity NPC302245
0.6456 Remote Similarity NPC274716
0.6456 Remote Similarity NPC167116
0.6456 Remote Similarity NPC609821
0.642 Remote Similarity NPC212237
0.6375 Remote Similarity NPC181796
0.6375 Remote Similarity NPC290005
0.6375 Remote Similarity NPC54654
0.6375 Remote Similarity NPC7715
0.6375 Remote Similarity NPC328155
0.6375 Remote Similarity NPC222661
0.6375 Remote Similarity NPC285931
0.6341 Remote Similarity NPC611658
0.6235 Remote Similarity NPC281581
0.6203 Remote Similarity NPC475393
0.6164 Remote Similarity NPC30779
0.6145 Remote Similarity NPC249996
0.6094 Remote Similarity NPC213206
0.6094 Remote Similarity NPC188163
0.6094 Remote Similarity NPC328750
0.6027 Remote Similarity NPC317272
0.6027 Remote Similarity NPC268503
0.6 Remote Similarity NPC286119
0.6 Remote Similarity NPC239584
0.5977 Remote Similarity NPC485711
0.5952 Remote Similarity NPC8836
0.5938 Remote Similarity NPC314682
0.5789 Remote Similarity NPC256012
0.5789 Remote Similarity NPC610965
0.5775 Remote Similarity NPC104196
0.5682 Remote Similarity NPC206900
0.5682 Remote Similarity NPC11296
0.5682 Remote Similarity NPC274661
0.5679 Remote Similarity NPC608819
0.5667 Remote Similarity NPC41122
0.5667 Remote Similarity NPC318805
0.5625 Remote Similarity NPC480591
0.561 Remote Similarity NPC112248
0.5506 Remote Similarity NPC82457
0.55 Remote Similarity NPC240841
0.5495 Remote Similarity NPC475597
0.5465 Remote Similarity NPC139783
0.5465 Remote Similarity NPC65312
0.5465 Remote Similarity NPC611798
0.5402 Remote Similarity NPC275680
0.5402 Remote Similarity NPC22115
0.5349 Remote Similarity NPC302275
0.5316 Remote Similarity NPC480592
0.5269 Remote Similarity NPC48490
0.5213 Remote Similarity NPC608576
0.5165 Remote Similarity NPC254581
0.5143 Remote Similarity NPC185838
0.5139 Remote Similarity NPC135538
0.5139 Remote Similarity NPC24233
0.5106 Remote Similarity NPC234318
0.5059 Remote Similarity NPC600054
0.5059 Remote Similarity NPC601504

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC12036 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
0.9516 High Similarity NPD8099 Discontinued
0.8657 High Similarity NPD8156 Discontinued
0.7746 Intermediate Similarity NPD8095 Phase 1
0.6094 Remote Similarity NPD4664 Clinical (unspecified phase)

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