{"title":"Structure-property modeling of pharmacokinetic characteristics of anticancer drugs via topological indices, multigraph modeling and multi-criteria decision making","authors":"Ugasini Preetha Pandi, Sakander Hayat, Suresh Marimuthu, Julietraja Konsalraj","doi":"10.1002/qua.27428","DOIUrl":"https://doi.org/10.1002/qua.27428","url":null,"abstract":"<p>This study presents an in-depth inquiry into estimating ADME properties for promising anticancer drugs, particularly amino acid-based alkylating agents, through ev-ve degree topological indices and QSPR analysis. The aim of the study is to compare multigraph modeling to simple graph modeling in estimating six ADME properties. Results demonstrate that multigraph modeling's superior performance, with notable high correlations such as <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>r</mi>\u0000 <mo>=</mo>\u0000 <mn>0</mn>\u0000 <mo>.</mo>\u0000 <mn>926</mn>\u0000 </mrow>\u0000 <annotation>$$ r=0.926 $$</annotation>\u0000 </semantics></math> for maximum passive absorption (MPA) using the M-ev index, compared to simple graph modeling's <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>r</mi>\u0000 <mo>=</mo>\u0000 <mn>0</mn>\u0000 <mo>.</mo>\u0000 <mn>68</mn>\u0000 </mrow>\u0000 <annotation>$$ r=0.68 $$</annotation>\u0000 </semantics></math> with the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>M</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {M}_2 $$</annotation>\u0000 </semantics></math>-ev index. This emphasizes the need for sophisticated modeling techniques in drug development. The primary objective is to compare multigraph and simple graph modeling using topological structure descriptors, followed by QSPR analysis to determine the better approach in estimating ADME properties. MCDM weight allocation techniques validate correlation values, enhancing understanding of estimators and identifying potential drugs. This underscores the importance of considering various MCDM methods and weight allocation approaches for reliable decision-making in healthcare contexts.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141245954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Probing Collins Conjecture with correlation energies and entanglement entropies for the ground and excited states in the helium iso-electronic sequence","authors":"Yen-Chang Lin, Yew Kam Ho","doi":"10.1002/qua.27420","DOIUrl":"https://doi.org/10.1002/qua.27420","url":null,"abstract":"<p>In the present work, we present an investigation of Collins Conjecture, a hypothesis made by D. M. Collins in 1993 relating correlation energy and entanglement entropy, by calculating the ground state and singly-excited triplet-spin 1s2s <sup>3</sup><i>S</i> and 1s3s <sup>3</sup><i>S</i> state energies of the helium iso-electronic sequence, with <i>Z</i> = 2–15. By using extensive orthonormal configuration interaction (CI) type wave functions with <i>B</i>-Spline basis up to about 6000 terms, linear entropy and von Neumann entropy for the abovementioned atomic systems are determined. Together with the Hartree-Fock energies obtained following a self-consistent field theory, we have found that there exist linearly proportionalities between the renormalized correlation energies and entanglement entropies of both linear and von Neumann, showing a support for Collins Conjecture applicable to the ground and singly-excited triplet-spin states in the helium sequence, for a range of finite <i>Z</i>-values.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Theory study on catalytic hydrogenation of CO2 to formic acid over Si, N-doped modified graphene quantum dots supported single atom Fe","authors":"Fangfang Li, Xunchao Zhang, Lihua Kang","doi":"10.1002/qua.27425","DOIUrl":"https://doi.org/10.1002/qua.27425","url":null,"abstract":"<p>Exploring suitable catalysts to catalyze the chemical transformation of CO<sub>2</sub> molecules is essential to reduce CO<sub>2</sub> levels. In this article, catalyst models of Fe-C<sub>4</sub>, Fe-N<sub>4</sub>, and Fe-Si<sub>4</sub> were constructed using the density functional theory (DFT) calculations, and the reaction mechanisms of CO<sub>2</sub> hydrogenation over these three catalysts were calculated and analyzed. The results showed that the doping of N atoms lowered the energy barrier of the second hydrogenation step compared with that of Fe-C<sub>4</sub> catalyst, while the doping of Si atoms changed the electron distribution on the surface of the catalyst and formed new Si adsorption sites. And the Fe-Si<sub>4</sub> catalyst had a stronger ability to activate CO<sub>2</sub> molecules as well as stronger catalytic performance compared with the Fe-C<sub>4</sub> and Fe-N<sub>4</sub> catalysts, which was mainly attributed to the synergistic catalytic effect between the doped Si atoms and the Fe metal atom.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"QSPR analysis for certain bio-molecular architectures","authors":"P. Noah Antony Daniel Renai, S. Roy, S. Govardhan","doi":"10.1002/qua.27423","DOIUrl":"https://doi.org/10.1002/qua.27423","url":null,"abstract":"<p>Flavonoids are known for its mechanism of antioxidant property which can prevent DNA damage. These natural products' anticancer and antiviral properties are linked to their mechanism of action. Various examinations reveals that, there will be a adjacent relationship between the molecular structure and their physicochemical properties such as boiling point, melting point, entropy, and so forth. In this work we have presented the physicochemical analysis and determination of <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>π</mi>\u0000 </mrow>\u0000 <annotation>$$ pi $$</annotation>\u0000 </semantics></math>-electron energy for some bio-molecular structures namely Erythroxylum Flavonoids, DNA (deoxyribonuclic acid), and RNA (ribonuclic acid). Additionally, the QSPR analysis of bio-molecular structures using ten degree based topological indices are discussed to assist researchers in understanding the chemical reactions and physical properties related with them. Furthermore, we demonstrated that the indices values correlate well with the physicochemical properties of flavonoids, DNA, and RNA molecular structures from the presented regression model.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jaidev Kumbhakar, Jisha Annie Abraham, Anshuman Srivastava, K. L. Meena, Mumtaz Manzoor, Ayman A. Ghfar, Ramesh Sharma
{"title":"Synergistic modulation of SLME and thermal transport toward promising p-type lead-free halide semiconductors In2TiX6 (X = Br, I) via first principles analysis","authors":"Jaidev Kumbhakar, Jisha Annie Abraham, Anshuman Srivastava, K. L. Meena, Mumtaz Manzoor, Ayman A. Ghfar, Ramesh Sharma","doi":"10.1002/qua.27424","DOIUrl":"https://doi.org/10.1002/qua.27424","url":null,"abstract":"<p>Lead halide perovskites have been replaced by the environmentally acceptable and effective lead-free double perovskite material. Double perovskites are innovative compounds for sustainable energy and budding substitutes to organic as well as lead-based solar cells. In the current study, it has been expounded on the structural, electronic, thermoelectric, as well as thermodynamic characteristics of newly designed double perovskites In<sub>2</sub>TiX<sub>6</sub> (X = Br, I) by means of ab-initio computations relied on the FP-LAPW tactics and semi-classical Boltzmann transport theory with PBE-GGA as exchange correlation potential. To obtain accurate value of band gaps (1.294 eV and 1.025 eV), TB-mBJ approximation has been used along with PBE-GGA. The best combinations of both compounds have spectroscopic limited maximum efficiency (SLME) values 33.96% and 31.63%, that are appropriate for solar cell absorbers, at 300 K, respectively. We have also computed Debye temperature <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mfenced>\u0000 <msub>\u0000 <mi>θ</mi>\u0000 <mi>D</mi>\u0000 </msub>\u0000 </mfenced>\u0000 </mrow>\u0000 <annotation>$$ left({theta}_Dright) $$</annotation>\u0000 </semantics></math> and Grüneisen parameter <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mfenced>\u0000 <mi>γ</mi>\u0000 </mfenced>\u0000 </mrow>\u0000 <annotation>$$ left(gamma right) $$</annotation>\u0000 </semantics></math> to find the lattice thermal conductivity for both the investigated alloys. Thermoelectric properties have been labeled by Seebeck coefficient, electrical as well as thermal conductivities, and figure of merit. The peak values of Seebeck coefficient of 248 μV/K and 202 μV/K are observed for In<sub>2</sub>TiBr<sub>6</sub> and In<sub>2</sub>TiI<sub>6</sub> respectively in the <i>p</i>-type regions. Attained results illustrates that the investigated In<sub>2</sub>TiX<sub>6</sub> may be contender in thermoelectric due to their high figure of merit in low as moderate temperatures. Our results suggest that these materials are viable for use in thermoelectric devices.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A density functional theory study of hydrogen storage on Ni and Pd doped hetero GeC nanotubes","authors":"H. O. Taha, A. M. El Mahdy, M. A. Ramadan","doi":"10.1002/qua.27421","DOIUrl":"https://doi.org/10.1002/qua.27421","url":null,"abstract":"<p>Using ab-initio DFT based simulations, the hydrogen storage capacity of transition metal (TM = Ni, Pd) decorated doped germanium carbide nanotubes (GeCNTs) with heteroatoms (B, N, Ga, and As) has been examined. The study reveals that each Ni atom bonded on GeCB, GeCN, GeCGa, and GeCAs can attach at the most of 3H<sub>2</sub>, 2H<sub>2</sub>, 4H<sub>2</sub>, and 5H<sub>2</sub> molecules with an average binding energy of −.36, −.40, −.32, and −.37 eV/H<sub>2</sub>, respectively. When doped GeCNTs are fully decorated with Ni atoms, their gravimetric hydrogen storage capacities are around 4.05, 2.73, 5.38, and 6.57 wt%, respectively. The desorption temperature of the systems is 460, 511, 404, and 473 K, respectively. When doped GeCNTs are fully decorated with Pd atoms, their gravimetric hydrogen storage capacities are around 2.07, 3.07, 4.05, and 3.07 wt%, respectively. These findings demonstrate that doped-GeC adorned with Pd does not satisfy US DOE hydrogen storage requirements. The molecular dynamic (MD) calculations are utilized to examine the stability of the considered structures. The results demonstrate that Ni-adorned GeCAs are a suitable material for hydrogen storage, which will motivate scientists to fabricate GeCAs-based fuel cell devices.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141078912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation of the cross sections for electron collision ionization of complex molecules","authors":"Zhan-Bin Chen","doi":"10.1002/qua.27422","DOIUrl":"https://doi.org/10.1002/qua.27422","url":null,"abstract":"<p>An accurate and computationally efficient determination of the cross sections for electron collision ionization of molecules has various applications, such as plasma physics and atmospheric science. In the case of large molecules, ab initio calculations are often difficult and time-consuming. Here, we develop a feed forward neural network to predict the electron impact ionization cross sections of complex molecules. The training (predicting) set in the method consists of a series of theoretical ionization cross sections for small (large) molecules obtained from the combined model, which integrates the Binary-Encounter-Bethe and Deutsch-Märk models. Several complex systems or targets involving electron collision ionization are evaluated, including molecules such as CH<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>4</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {}_4 $$</annotation>\u0000 </semantics></math>, C<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>3</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {}_3 $$</annotation>\u0000 </semantics></math>H<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>8</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {}_8 $$</annotation>\u0000 </semantics></math>, C<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>5</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {}_5 $$</annotation>\u0000 </semantics></math>H<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>8</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {}_8 $$</annotation>\u0000 </semantics></math>, C<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>6</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {}_6 $$</annotation>\u0000 </semantics></math>H<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <m","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141078913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Theoretical study on the differences in donor-acceptor interaction and electron transition mechanism in Pd(II) and Pt(II) complexes","authors":"Yu Chang, Xiao-Chun Hang, Cong Zhang","doi":"10.1002/qua.27418","DOIUrl":"https://doi.org/10.1002/qua.27418","url":null,"abstract":"<p>The relativistic effect enhances spin-orbit coupling (SOC), making metal complexes potential candidates for phosphorescent OLED emitters. However, the relativistic effect profoundly influences the donor and acceptor interactions (D-A), resulting in unique electron transition processes. By stabilizing the s orbitals and destabilizing the d orbitals of the center metal atom, the relativistic effect enhances donation, back donation, and the trans effect in PtN1N more than in PdN1N. Particularly, the back donation in PtN1N is approximately four times greater than that in PdN1N, contributing to the greater stability and rigidity in PtN1N. Furthermore, the relativistic effect enhances the SOC and reduces the excitation energy and stabilizes the excited states of PtN1N. Consequently, the radiative decay rate <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>k</mi>\u0000 <mi>p</mi>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {mathrm{k}}_{mathrm{p}} $$</annotation>\u0000 </semantics></math> and non-radiative rate <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>k</mi>\u0000 <mi>nr</mi>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {mathrm{k}}_{mathrm{nr}} $$</annotation>\u0000 </semantics></math> are accelerated simultaneously. The reverse intersystem crossing rate <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>k</mi>\u0000 <mtext>RISC</mtext>\u0000 </msub>\u0000 <mfenced>\u0000 <mrow>\u0000 <msub>\u0000 <mi>T</mi>\u0000 <mn>3</mn>\u0000 </msub>\u0000 <mo>→</mo>\u0000 <msub>\u0000 <mi>S</mi>\u0000 <mn>1</mn>\u0000 </msub>\u0000 </mrow>\u0000 </mfenced>\u0000 </mrow>\u0000 <annotation>$$ {mathrm{k}}_{mathrm{RISC}}left({mathrm{T}}_3to {mathrm{S}}_1right) $$</annotation>\u0000 </semantics></math> in PdN1N is accelerated by high temperature, which is responsible for thermally activated delayed fluorescence (TADF).</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141078988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An overview about neural networks potentials in molecular dynamics simulation","authors":"Raidel Martin-Barrios, Edisel Navas-Conyedo, Xuyi Zhang, Yunwei Chen, Jorge Gulín-González","doi":"10.1002/qua.27389","DOIUrl":"https://doi.org/10.1002/qua.27389","url":null,"abstract":"<p>Ab-initio molecular dynamics (AIMD) is a key method for realistic simulation of complex atomistic systems and processes in nanoscale. In AIMD, finite-temperature dynamical trajectories are generated by using forces computed from electronic structure calculations. In systems with high numbers of components a typical AIMD run is computationally demanding. On the other hand, machine learning (ML) is a subfield of the artificial intelligence that consist in a set of algorithms that show learning by experience with the use of input and output data where algorithms are capable of analysing and predicting the future. At present, the main application of ML techniques in atomic simulations is the development of new interatomic potentials to correctly describe the potential energy surfaces (PES). This technique is in constant progress since its inception around 30 years ago. The ML potentials combine the advantages of classical and Ab-initio methods, that is, the efficiency of a simple functional form and the accuracy of first principles calculations. In this article we review the evolution of four generations of machine learning potentials and some of their most notable applications. This review focuses on MLPs based on neural networks. Also, we present a state of art of this topic and future trends. Finally, we report the results of a scientometric study (covering the period 1995–2023) about the impact of ML techniques applied to atomistic simulations, distribution of publications by geographical regions and hot topics investigated in the literature.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qua.27389","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141078983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nadeem ul Hassan Awan, Abdul Ghaffar, Ferdous M. Tawfiq, Ghulam Mustafa, Muhammad Bilal, Mustafa Inc
{"title":"QSPR analysis for physiochemical properties of new potential antimalarial compounds involving topological indices","authors":"Nadeem ul Hassan Awan, Abdul Ghaffar, Ferdous M. Tawfiq, Ghulam Mustafa, Muhammad Bilal, Mustafa Inc","doi":"10.1002/qua.27391","DOIUrl":"https://doi.org/10.1002/qua.27391","url":null,"abstract":"<p>Malaria has a wide impact on the healthcare system, affecting everyone from hyperendemic areas who dearth access to medical treatment to international tourists returning to nonendemic regions with tertiary referral care. Implementing timely and accurate diagnosis is necessary to stop malaria's growing global effect, which is attributed to the development of antimalarial medication resistance. In this research, potential antimalarial compounds, including quinine, primaquine, artemether, artelinic acid, triazoles-modified, and so forth are examined with topological indices (TI) and linear regression modeling of said compounds. Some degree based topological indices are assembled for these drugs' chemical graphs. We compute the topological descriptors with the limiting behaviors associated with these pharmaceutical drugs. Moreover, in this study some of the physicochemical features of the drugs are estimated using these TIs in the QSPR models. These indices better reflect chemical properties such as boiling point, complexity, polarity, and so forth and the outcomes of regression technique acquired QSPR studies may aid in the creation of fresh medicines for the treatment of malaria. These indices and antimalarial activity were discovered to be related. Other compound series do very well with this relationship. The TIs could be a key component in creating and synthesizing new antimalarial drugs.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qua.27391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141078986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}