| Literature DB >> 35975048 |
Marcia Pérez-Fehrmann1, Víctor Kesternich1, Arturo Puelles1, Víctor Quezada1, Fernanda Salazar1, Philippe Christen2,3, Jonathan Castillo4, Juan Guillermo Cárcamo4,5, Alejandro Castro-Alvarez6,7, Ronald Nelson1.
Abstract
A novel series of 6-iodo-2-methylquinazolin-4-(3H)-one derivatives, 3a-n, were synthesized and evaluated for their in vitro cytotoxic activity. Compounds 3a, 3b, 3d, 3e, and 3h showed remarkable cytotoxic activity on specific human cancer cell lines when compared to the anti-cancer drug, paclitaxel. Compound 3a was found to be particularly effective on promyelocytic leukaemia HL60 and non-Hodgkin lymphoma U937, with IC50 values of 21 and 30 μM, respectively. Compound 3d showed significant activity against cervical cancer HeLa (IC50 = 10 μM). The compounds 3e and 3h were strongly active against glioblastoma multiform tumour T98G, with IC50 values of 12 and 22 μM, respectively. These five compounds showed an interesting cytotoxic activity on four human cancer cell types of high incidence. The molecular docking results reveal a good correlation between experimental activity and calculated binding affinity on dihydrofolate reductase (DHFR). Docking studies proved 3d as the most potent compound. In addition, the three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis exhibited activities that may indicate the existence of electron-withdrawing and lipophilic groups at the para-position of the phenyl ring and hydrophobic interactions of the quinazolinic ring in the DHFR active site. This journal is © The Royal Society of Chemistry.Entities:
Year: 2022 PMID: 35975048 PMCID: PMC9344282 DOI: 10.1039/d2ra03684c
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 4.036
Fig. 1Selected examples of 4-(3H)-quinazolinones.
Scheme 1Synthesis of 2-acetamido-5-iodobenzoic acid (2).
Scheme 2Synthesis of 6-iodo-2-methylquinazolin-4(3H)-one derivatives 3a–n.
Cytotoxic activities of quinazolinone derivatives against the selected cancer cell lines (IC50 values expressed in μM)a
| Comp. | Adherent cells | Nonadherent cells | ||||
|---|---|---|---|---|---|---|
| G415 | Gbd1 | T98G | HeLa | HL60 | U937 | |
| 3a | >200 | >200 | >200 | >200 |
|
|
| 3b | >200 | >200 | >200 | >200 |
|
|
| 3c | >200 | >200 | 114 ± 22 | 180 ± 65 | >200 | >200 |
| 3d | >200 | >200 | >200 |
| >200 | >200 |
| 3e | >200 | >200 |
| 60 ± 1.3 | >200 | >200 |
| 3f | >200 | >200 | >200 | 86 ± 12 | >200 | >200 |
| 3g | >200 | >200 | >200 | 110 ± 51 | >200 | >200 |
| 3h | >200 | >200 |
| 148 ± 91 | >200 | >200 |
| 3i | >200 | >200 | >200 | 70 ± 5.4 | >200 | >200 |
| 3j | >200 | >200 | >200 | >200 | >200 | >200 |
| 3k | >200 | >200 | >200 | 193 ± 120 | >200 | >200 |
| 3l | >200 | >200 | >200 | >200 | >200 | >200 |
| 3m | >200 | >200 | >200 | >200 | >200 | >200 |
| 3n | >200 | >200 | >200 | 175 ± 98 | >200 | >200 |
| Paclitaxel | 10 ± 0.7 | 6 ± 0.6 | 21 ± 3.0 | 6.2 ± 1.9 | 3.1 ± 0.9 | 41 ± 7.0 |
50% inhibitory concentration values are an average of three individual experiments.
Fig. 2Structures and IC50 of-substituted phenyl rings.
Fig. 3The correlation graph between experimental activity (ΔGexp) and predicted docking activity (ΔGgbsa).
Fig. 4The binding mode of compound 3d in the catalytic site of DHFR.
Fig. 5Aligned structures of all compounds for the 3D-QSAR study. Highlighted structures are synthetized compounds in this work, and transparent structures are from Pathak's dataset.
Statistics of the COMFA models for cytotoxic (HeLA cells) activitya
|
| SDEC |
|
| SDEP | ||
|---|---|---|---|---|---|---|
| Training set | PLS | 0.996 | 0.032 | 666.323 | ||
| LOO | — | — | — | 0.854 | 0.205 | |
| LTO | — | — | — | 0.841 | 0.2.13 | |
| LMO | — | — | — | 0.826 | 0.146 | |
| Test set | 0.852 | 0.210 |
R 2 = non-cross validated for determination; Q2 = coefficient of determination for internal validation; SDEC = standard deviation error in calculation; SDEP = standard deviation error in prediction.
Data set with experimental activity versus calculated activity
| Compounds | pIC50 exp | pIC50 calc | Set |
|---|---|---|---|
| 3c | 3.745 | 3.733 | Training |
| 3d | 5 | 4.9849 | Training |
| 3e | 4.222 | 4.2706 | Training |
| 3f | 4.066 | 3.9808 | Training |
| 3g | 3.959 | 3.7844 | Test |
| 3h | 3.83 | 3.884 | Training |
| 3i | 4.155 | 4.1573 | Training |
| 3k | 3.714 | 3.8836 | Test |
| 3n | 3.757 | 3.7665 | Training |
| Pathak_1 | 5.017 | 4.8399 | Test |
| Pathak_2 | 5.126 | 5.1072 | Training |
| Pathak_3 | 4.95 | 4.969 | Training |
| Pathak_4 | 5.15 | 5.1361 | Training |
| Pathak_5 | 4.903 | 5.1317 | Test |
| Pathak_6 | 5.013 | 5.1289 | Test |
| Pathak_7 | 5.02 | 5.0128 | Training |
| Pathak_8 | 4.888 | 5.2175 | Test |
| Pathak_9 | 5.022 | 5.0288 | Training |
| Pathak_10 | 5.177 | 5.2045 | Training |
| Pathak_11 | 5.147 | 5.1017 | Training |
| Pathak_12 | 5.124 | 5.133 | Training |
| Pathak_13 | 5.142 | 5.1462 | Training |
| Pathak_14 | 5.075 | 5.111 | Training |
| Pathak_15 | 4.782 | 4.7626 | Training |
Fig. 6(A) Scatter plots of predicted versus experimental activity. (B) Residual plots between predicted and experimental values.
Fig. 7Steric contour maps representing the COMFA model for cytotoxic activity. The compounds shown are the strongest (A; Pakhar_3) and weakest (B; 3d). Green and yellow regions indicate areas where steric interactions increase and decrease activity, respectively.
Fig. 8Electrostatic contour maps representing the COMFA model for cytotoxic activity. Compounds shown are the strongest (A; 3) and weakest (B; 17). Blue and red regions denote enhancing and detrimental electrostatic effects with the positively charged probe, respectively.
Prediction of the lipophilicity of the synthesized compounds
| Comp. | iLOGP[ | XLOGP3 (ref. | MLOGP[ | Consensus log |
|---|---|---|---|---|
| 3a | 3.28 | 3.48 | 4.26 | 3.95 |
| 3b | 3.17 | 3.41 | 4.15 | 3.86 |
| 3c | 3.20 | 2.76 | 3.30 | 3.31 |
| 3d | 3.30 | 4.34 | 4.65 | 4.43 |
| 3e | 3.42 | 3.68 | 3.80 | 3.90 |
| 3f | 3.36 | 3.03 | 2.97 | 3.34 |
| 3g | 2.53 | 2.61 | 2.63 | 2.55 |
| 3h | 3.16 | 3.81 | 4.53 | 4.21 |
| 3i | 2.60 | 3.40 | 3.87 | 3.25 |
| 3j | 2.61 | 2.61 | 2.63 | 2.57 |
| 3k | 3.36 | 3.81 | 4.38 | 4.09 |
| 3l | 3.02 | 3.61 | 3.83 | 3.95 |
| 3m | 2.52 | 2.43 | 3.06 | 2.90 |
| 3n | 2.86 | 3.54 | 3.13 | 3.16 |
Prediction of the water solubility of the synthesized compoundsa
| Comp. | ESOL[ | Ali[ | ||
|---|---|---|---|---|
| log | Class | log | Class | |
| 3a | −5.29 | Mod. soluble | −3.90 | Soluble |
| 3b | −4.97 | Mod. soluble | −3.82 | Soluble |
| 3c | −4.44 | Mod. soluble | −3.34 | Soluble |
| 3d | −5.74 | Mod. soluble | −4.79 | Mod. soluble |
| 3e | −5.21 | Mod. soluble | −4.30 | Mod. soluble |
| 3f | −4.68 | Mod. soluble | −3.82 | Soluble |
| 3g | −4.41 | Mod. soluble | −3.95 | Soluble |
| 3h | −5.31 | Mod. soluble | −4.24 | Mod. soluble |
| 3i | −4.78 | Mod. soluble | −4.06 | Mod. soluble |
| 3j | −4.41 | Mod. soluble | −3.95 | Soluble |
| 3k | −5.16 | Mod. soluble | −4.24 | Mod. soluble |
| 3l | −5.16 | Mod. soluble | −4.36 | Mod. soluble |
| 3m | −4.24 | Mod. soluble | −3.23 | Soluble |
| 3n | −5.19 | Mod. soluble | −4.92 | Mod. soluble |
Mod. soluble = Moderately soluble.
Drug likeness of synthesized molecules based on Lipinski, Ghose, Veber, Egan, and Muegge rules
| Comp. | Lipinski | Ghose | Veber | Egan | Muegge |
|---|---|---|---|---|---|
| 3a | No | Yes | Yes | Yes | Yes |
| 3b | Yes | Yes | Yes | Yes | Yes |
| 3c | Yes | Yes | Yes | Yes | Yes |
| 3d | No | Yes | Yes | Yes | Yes |
| 3e | Yes | Yes | Yes | Yes | Yes |
| 3f | Yes | Yes | Yes | Yes | Yes |
| 3g | Yes | Yes | Yes | Yes | Yes |
| 3h | No | Yes | Yes | Yes | Yes |
| 3i | Yes | Yes | Yes | Yes | Yes |
| 3j | Yes | Yes | Yes | Yes | Yes |
| 3k | No | Yes | Yes | Yes | Yes |
| 3l | Yes | Yes | Yes | Yes | Yes |
| 3m | Yes | Yes | Yes | Yes | Yes |
| 3n | Yes | Yes | Yes | Yes | Yes |