Natural Product: NPC95075

Natural Product IDNPC95075
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-Antofine
IUPAC Name (13aR)-2,3,6-trimethoxy-9,11,12,13,13a,14-hexahydrophenanthro[9,10-f]indolizine
Synonyms (-)-Antofine
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL228286
PubChem CID 639288
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000025] Phenanthrenes and derivatives
        • [CHEMONTID:0001906] Phenanthroindolizidines

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 NCVWJDISIZHFQS-CQSZACIVSA-N
Standard InCHI InChI=1S/C23H25NO3/c1-25-15-6-7-16-18(10-15)20-12-23(27-3)22(26-2)11-19(20)17-9-14-5-4-8-24(14)13-21(16)17/h6-7,10-12,14H,4-5,8-9,13H2,1-3H3/t14-/m1/s1
SMILES COc1ccc2c(c1)c1cc(OC)c(cc1c1c2CN2CCC[C@@H]2C1)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   363.18 Volume:   382.494
?
Van der Waals volume.
Dense:   0.95 LogP:   3.927
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.37
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.211
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   25.0
TPSA:   30.93
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.639 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.868 Fsp3:   0.391
MCE-18:   87.75
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.853 Fluc inhibitor:   0.057
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.771
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.304
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.453

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.481 MDCK Permeability:   -4.687
Pgp-inhibitor:   0.894 Pgp-substrate:   0.907
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%):   0.014 30% Bioavailability (F30%):   0.004
50% Bioavailability (F50%):   0.57

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.202 MRP1:   0.92
Plasma Protein Binding (PPB):   81.655% Volume Distribution (VD):   0.167
Fu: 14.332%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.998
BSEP inhibitor:   0.976

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.032
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.999 CYP2C9-substrate:   0.78
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.258
CYP3A4-inhibitor:   0.993 CYP3A4-substrate:   0.584
CYP2B6-substrate:   0.999 CYP2C8-inhibitor:   0.003
HLM stability:   0.915
?
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):  8.488 Half-life (T1/2):  1.168

ADMET: Toxicity

hERG Blockers:  0.827 hERG Blockers (10um):  0.749
Human Hepatotoxicity (H-HT):  0.804 Drug-induced Liver Injury (DILI):  0.701
AMES Toxicity:  0.755 Rat Oral Acute Toxicity:  0.808
Maximum Recommended Daily Dose:  0.977 Skin Sensitization:  0.558
Carcinogencity:  0.795 Eye Corrosion:  0.0
Eye Irritation:  0.117 Respiratory Toxicity:  0.995
Drug-induced Neurotoxicity:  0.975 Ototoxicity:  0.739
Hematotoxicity:  0.562 Drug-induced Nephrotoxicity:  0.92
Genotoxicity:  0.839 RPMI-8226 Immunitoxicity:  0.292
A549 Cytotoxicity:  0.477 Hek293 Cytotoxicity:  0.802
BCF:   2.141
?
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:   4.447
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.023
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.342
?
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
NPO33385 cynanchum vincetoxicum Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[11087617]
NPO33385 cynanchum vincetoxicum Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[12350151]
NPO8035 Tylophora tanakae Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[12350151]
NPO31390 Cynanchum paniculatum Species Apocynaceae Eukaryota roots n.a. n.a. PMID[14738392]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. n.a. n.a. PMID[22029392]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. fruit n.a. PMID[24897106]
NPO31390 Cynanchum paniculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18056 Silene rubicunda Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8035 Tylophora tanakae Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO31390 Cynanchum paniculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24694 Vincetoxicum pycnostelma Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24981 Dimetia capitellata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO31390 Cynanchum paniculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24694 Vincetoxicum pycnostelma Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17803 Parmelia omphalodes Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24981 Dimetia capitellata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14290 Bryonia cretica Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28410 Nandina domestica Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18515 Uncaria pilosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18788 Isertia hypoleuca Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18056 Silene rubicunda Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8035 Tylophora tanakae Species Apocynaceae 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
NPT668 Individual protein P-glycoprotein 1 Homo sapiens Activity = 37.9 % PMID[23294831]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT81 Cell line A549 Homo sapiens IC50 = 8.0 nM PMID[17585747]
NPT91 Cell line KB Homo sapiens IC50 = 13.0 nM PMID[17585747]
NPT90 Cell line DU-145 Homo sapiens IC50 = 9.0 nM PMID[17585747]
NPT133 Cell line ZR-75-1 Homo sapiens IC50 = 8.0 nM PMID[17585747]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 9.9 nM PMID[17049857]
NPT453 Cell line HT-1080 Homo sapiens IC50 = 9.6 nM PMID[17049857]
NPT81 Cell line A549 Homo sapiens IC50 = 10.4 nM PMID[17049857]
NPT461 Cell line PANC-1 Homo sapiens GI50 = 2.2 nM PMID[18077159]
NPT404 Cell line CCRF-CEM Homo sapiens GI50 = 5.2 nM PMID[18077159]
NPT91 Cell line KB Homo sapiens IC50 = 36.0 nM PMID[22823514]
NPT81 Cell line A549 Homo sapiens IC50 = 22.0 nM PMID[22823514]
NPT90 Cell line DU-145 Homo sapiens IC50 = 25.0 nM PMID[22823514]
NPT81 Cell line A549 Homo sapiens GI50 = 22.0 nM PMID[21668000]
NPT90 Cell line DU-145 Homo sapiens GI50 = 25.0 nM PMID[21668000]
NPT91 Cell line KB Homo sapiens GI50 = 36.0 nM PMID[21668000]
NPT81 Cell line A549 Homo sapiens GI50 = 10.0 nM PMID[22417638]
NPT116 Cell line HL-60 Homo sapiens GI50 < 1.0 nM PMID[22417638]
NPT81 Cell line A549 Homo sapiens IC50 = 18.0 nM PMID[23294831]
NPT81 Cell line A549 Homo sapiens IC50 = 11.0 nM PMID[23294831]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 8.0 nM PMID[23294831]
NPT148 Cell line HCT-15 Homo sapiens IC50 = 13.0 nM PMID[23294831]
NPT2548 Cell line SNU-638 Homo sapiens IC50 = 10.0 nM PMID[23294831]
NPT1086 Cell line SK-HEP1 Homo sapiens IC50 = 8.0 nM PMID[23294831]
NPT81 Cell line A549 Homo sapiens IC50 = 10.0 nM PMID[25499434]
NPT306 Cell line PC-3 Homo sapiens IC50 = 12.34 nM PMID[26393416]
NPT308 Cell line CAKI-1 Homo sapiens IC50 = 6.23 nM PMID[26393416]
NPT82 Cell line MDA-MB-231 Homo sapiens IC50 = 6.04 nM PMID[26393416]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 6.03 nM PMID[26393416]
NPT81 Cell line A549 Homo sapiens IC50 = 8.52 nM PMID[26393416]
NPT82 Cell line MDA-MB-231 Homo sapiens IC50 = 12.0 nM PMID[28431881]
NPT81 Cell line A549 Homo sapiens IC50 = 20000.0 nM PMID[35033884]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 9.0 nM PMID[17585747]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 4.9 nM PMID[18077159]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 16.0 nM PMID[12350151]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 14.0 nM PMID[12350151]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 25.0 nM PMID[22823514]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 6.32 nM PMID[26393416]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 10.38 nM PMID[26393416]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 65.0 % PMID[17822295]
NPT2 Others Unspecified n.a. IC50 = 7.3 nM PMID[18077159]
NPT2 Others Unspecified n.a. IC50 = 167.0 nM PMID[18077159]
NPT2 Others Unspecified n.a. IC50 = 135.0 nM PMID[18077159]
NPT2 Others Unspecified n.a. IC50 = 24.0 nM PMID[18077159]
NPT2 Others Unspecified n.a. Ratio = 1.5 n.a. PMID[18077159]
NPT2 Others Unspecified n.a. Activity = 34.0 n.a. PMID[18077159]
NPT2 Others Unspecified n.a. Activity = 28.0 n.a. PMID[18077159]
NPT2 Others Unspecified n.a. Activity = 4.9 n.a. PMID[18077159]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 63.0 % PMID[22662864]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus GI = 63.0 % PMID[22880628]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Activity = 20.4 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Activity = 45.5 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Activity = 19.4 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Activity = 46.0 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Activity = 15.3 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Activity = 42.7 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 27.4 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 52.8 % PMID[23035814]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 29.2 % PMID[16190646]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 14.0 % PMID[16190646]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 33.4 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 62.5 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 29.4 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 58.0 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 32.3 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 55.7 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 30.4 % PMID[23320928]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 65.8 % PMID[23320928]

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 NPC95075 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 NPC90844
1.0 High Similarity NPC253883
0.9245 High Similarity NPC219162
0.9245 High Similarity NPC605089
0.8947 High Similarity NPC76079
0.8269 Intermediate Similarity NPC130941
0.8269 Intermediate Similarity NPC605913
0.8246 Intermediate Similarity NPC92541
0.7797 Intermediate Similarity NPC603531
0.75 Intermediate Similarity NPC244112
0.7302 Intermediate Similarity NPC487714
0.6935 Remote Similarity NPC186063
0.6349 Remote Similarity NPC150879
0.6094 Remote Similarity NPC233650
0.5909 Remote Similarity NPC169743
0.5606 Remote Similarity NPC487715
0.5429 Remote Similarity NPC487711
0.5429 Remote Similarity NPC487712
0.5429 Remote Similarity NPC487713

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC95075 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