Drug Discovery, Biophysics, Biotechnology, Physical and Theoretical Chemistry
96
Scopus Publications
1191
Scholar Citations
20
Scholar h-index
45
Scholar i10-index
Scopus Publications
Computational identification of conserved dengue virus envelope protein epitopes for vaccine design and immunodiagnostic platform Maria Karolaynne da Silva, Umberto Laino Fulco, Taha Alqahtani, Emad Rashad Sindi, Jonas Ivan Nobre Oliveira, Yayesew Amlaku Zerihun, Magdi E. A. Zaki, Shahina Akter Scientific Reports, 2026 Dengue virus (DENV) remains a major global health challenge, with its incidence increasing sharply over the past two decades. More than 390 million infections occur annually, affecting nearly half of the world’s population. Despite progress in vaccine research, the coexistence of four antigenically distinct dengue virus serotypes (DENV1-4) complicates vaccine and diagnostic development, emphasizing the urgent need for improved preventive and diagnostic strategies. Immunoinformatics and computational vaccinology are powerful tools to elucidate host–pathogen interactions and accelerate vaccine and diagnostic discovery. As vaccination remains the most effective strategy to reduce the dengue burden and accurate diagnostics are essential for surveillance, this study identified conserved and serotype-specific dengue epitopes to support vaccine and diagnostic development. We conducted a comprehensive in silico analysis of the DENV envelope (E) protein across all four serotypes to identify conserved and serotype-specific T-cell and B-cell epitopes. Molecular docking was performed to evaluate HLA-binding affinity between predicted epitopes and their corresponding alleles, and intrinsically disordered regions of the dengue envelope protein were analyzed to identify flexible segments potentially involved in immune recognition. Finally, normal mode analysis was carried out to assess the structural flexibility and stability of the resulting epitope–HLA complexes. Our analysis revealed highly conserved CD8+ (CD4 +) epitopes, such as E57, E135, E175, E313 and E417 (E133, E134, and E234) that remain antigenic despite sequence variation, suggesting their potential use in a universal dengue vaccine. We also identified distinct serotype-specific epitopes, which could serve as molecular signatures for precise immunodiagnostic assays (DENV-2: E236, E267, and E424; DENV-3: E204, E229, E274, E350, and E410; and DENV-4: E402, E403, E65, and E446). Population coverage analysis predicted a global reach of 66.87%, with high representation in East Asia, Europe, and the Americas. Molecular docking and normal mode analyses confirmed stable peptide–HLA interactions with favorable binding energies, particularly for LTDYGALTL–HLA-A01:01 and DTAWDFGSI–HLA-A26:01 complexes. Collectively, this integrative in silico framework identifies epitope candidates that can inform next-generation multivalent dengue vaccines and enhance serotype-specific diagnostic platforms.
Comparative pharmacoinformatic and quantum descriptor insights from BFM/GBTLI guidelines to phase I/II compounds for acute lymphoblastic leukemia (ALL) Ian A. F. Bahia, Maria K. da Silva, Emad Rashad Sindi, João F. Rodrigues-Neto, Edilson D. da Silva, Taha Alqahtani, Yewulsew Kebede Tiruneh, Magdi E. A. Zaki, Umberto L. Fulco, Jonas I. N. Oliveira Scientific Reports, 2026 Acute lymphoblastic leukemia (ALL) remains the most common pediatric malignancy worldwide. Standard protocols such as BFM and GBTLI rely on long-established cytotoxic agents, yet novel targeted compounds have recently entered phase I/II trials. Despite these advances, no prior study has systematically compared the pharmacokinetic, ADMET, and quantum descriptor profiles of protocol-based drugs versus emerging clinical-phase agents. This study addresses that gap by integrating pharmacoinformatic and quantum-chemical approaches to highlight differences with potential clinical implications. We retrieved all small-molecule drugs from the BFM/GBTLI 2009 protocols and a representative set of phase I/II investigational compounds for pediatric ALL. In silico tools were used to assess physicochemical properties, ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiles, and quantum chemical descriptors. We evaluated physicochemical and pharmacokinetic properties, including solubility, permeability, metabolic liabilities, and toxicity risks. Quantum chemical descriptors were calculated with density functional theory (DFT) to assess molecular reactivity (HOMO, LUMO, gap, dipole moment, electrophilicity). Multivariate analyses were applied to compare and cluster drug profiles. The comparative analysis revealed significant variability between guideline and clinical-phase compounds. Clinical-phase compounds generally exhibited higher molecular weight and lipophilicity, together with greater variability in permeability and solubility-related descriptors, indicating potential formulation and bioavailability challenges. Several investigational agents were identified as P-gp substrates and hERG inhibitors, suggesting increased risk of efflux-mediated resistance and cardiotoxicity. Quantum chemical analysis revealed that phase I/II compounds (e.g., Pelabresib, Molibresib) displayed smaller HOMO-LUMO gaps and higher electrophilicity, consistent with higher theoretical reactivity, whereas guideline drugs (e.g., Vincristine, Methotrexate) showed more stable electronic profiles. Cluster analysis confirmed distinct grouping between guideline and clinical-phase compounds. This in silico comparison integrates pharmacoinformatic and quantum descriptor analyses of established and emerging ALL therapeutics. By revealing key differences in drug-likeness, ADMET, and electronic reactivity, the study provides a comparative framework that may support the prioritization, optimization, and clinical translation of next-generation therapies for pediatric ALL.
Immunoinformatics approach to engineer a multi-epitope vaccine against SdrG in skin commensal Staphylococcus epidermidis Shahina Akter, Gabriel Vinícius Rolim Silva, Jonas Ivan Nobre Oliveira, Umberto Laino Fulco, Xianyang Xu, Yu Vincent Fu Plos One, 2026 The human skin serves as a dynamic ecosystem for beneficial commensal bacteria such as Staphylococcus epidermidis , which play a crucial role in maintaining skin barrier integrity and modulating immune responses. Remarkably, recent research has demonstrated that the skin can function as a natural vaccination site, producing specific antibodies against commensal microbes without inducing inflammation. However, S. epidermidis can transition into an opportunistic pathogen in clinical settings, forming resilient biofilms on medical implants and exhibiting increasing resistance to antibiotics (MRSE), posing a significant healthcare challenge. To address this challenge, advanced immunoinformatics strategies were leveraged to design a novel multi-epitope vaccine targeting the SdrG protein, a key mediator of S. epidermidis biofilm formation. The vaccine’s binding dynamics with Toll-like receptor 4 (TLR4) were evaluated through computational analyses, including molecular docking and 500-nanosecond molecular dynamics (MD) simulations. Stability assessments via Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), and Radius of Gyration (Rg) confirmed that the vaccine-TLR4 complex achieved structural equilibrium, with TLR4 maintaining rigidity while the vaccine exhibited adaptive flexibility for optimal binding. The Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) method revealed a strong binding affinity, with a peak free energy of −52.73 kcal/mol and an average of −24.72 ± 9.5989 kcal/mol over the last 50 ns, indicating a thermodynamically favorable interaction. Furthermore, in silico cloning validated the vaccine’s expressibility, with successful integration into the pET-Sangamo-His vector (8560 bp) for optimal E. coli production. These findings underscore the vaccine’s potential to elicit a robust immune response by stably engaging TLR4, a critical step in innate immune activation. By combining computational precision with immunological insights, this study lays a foundation for developing an effective prophylactic strategy against S. epidermidis biofilm-associated infections.
Quantum Biochemistry Insights into Ligand Recognition at the a1A-Adrenoceptor Luana Talinne da Costa Gomes, Katyanna Sales Bezerra, Elaine Cristina Gavioli, Jonas Ivan Nobre Oliveira, Douglas Soares Galvão, Umberto Laino Fulco, Edilson Dantas da Silva Junior ACS Omega, 2026 High Resolution Image Download MS PowerPoint Slide Understanding the molecular basis of ligand recognition at α 1A -adrenoceptor (α 1A -AR) is essential for developing highly selective therapeutic agents. In this study, we applied a quantum biochemistry approach combining density functional theory (DFT) with the molecular fractionation with conjugate caps (MFCC) method to perform a detailed energetic characterization of the interactions between α 1A -AR and three ligands with distinct pharmacological profiles: the endogenous nonselective agonist noradrenaline, the partial and selective α 1A -AR agonist oxymetazoline, and the selective α 1A -AR antagonist tamsulosin. Our calculations of total binding energy accurately reproduced the experimental relative affinity ranking (tamsulosin > oxymetazoline > noradrenaline), supporting the reliability of the MFCC-DFT protocol in modeling receptor–ligand interactions at quantum resolution. A total of 81, 88, and 93 amino acid residues of α 1A -AR interacted with noradrenaline, oxymetazoline, and tamsulosin, respectively. The most energetically relevant residues were located within 4 Å. A comprehensive residue-level analysis revealed that ASP106, VAL107, PHE288, and PHE312 are key contributors to the total binding energy of all ligands, corroborating evidence from structural and mutagenesis studies. Specifically for oxymetazoline, this ligand contains a tert -butyl group that establishes nonpolar interactions with residues such as VAL185 and ALA189, which are not observed in the noradrenaline-α 1A -AR complex. Additionally, unlike noradrenaline, oxymetazoline exhibits an attractive interaction with MET292 and does not engage in polar interactions with SER188. These differential interaction patterns may contribute to the distinct pharmacological profile of oxymetazoline relative to noradrenaline. Tamsulosin also exhibited a distinct interaction profile compared to agonists noradrenaline and oxymetazoline, interacting with residues located in the extracellular vestibule, including SER83, PHE86, GLU87, TRP102, CYS176, and LYS309. These additional interactions play a pivotal role in stabilizing tamsulosin within the binding pocket, contributing to its high selectivity and antagonistic behavior at the α 1A -AR. Altogether, these findings provide a robust theoretical framework for understanding the molecular determinants of functional selectivity and subtype specificity at α 1A -AR, offering valuable insights for the rational design of new ligands with improved selectivity, efficacy, and safety profiles.
Therapeutic Perspectives of SIRT6 Regulation: Computational Analysis of Activation and Inhibition by Bioactive Molecules Érika Geicianny de Carvalho Matias, Katyanna Sales Bezerra, Washington Sales Clemente Junior, Jonas Ivan Nobre Oliveira, Douglas Soares Galvão, Umberto Laino Fulco Journal of Molecular Recognition, 2026 Sirtuin 6 (SIRT6) is an enzyme belonging to the class of nicotinamide adenine dinucleotide (NAD+) dependent histone deacetylases. It has been of interest due to its multivariate biological role and association with aging‐related diseases and metabolic dysfunctions. SIRT6 activation protects against metabolic diseases and aging, and its inhibition is considered a therapy against cancer and inflammation. Here, we explore the modulation of SIRT6 by bioactive molecules, providing a detailed view of the molecular interactions that lead to the activation or inhibition of this protein. Therefore, we investigated the interactions between the ligands quercetin (QUE), isoquercetin (ISO), catechin gallate (CG), and trichostatin A (TSA) with SIRT6, using computational methods from the perspective of molecular modeling through the Molecular Fractionation with Caps Conjugates (MFCC) technique and according to the calculation parameters of Density Functional Theory (DFT). The results revealed the energetic values of each amino acid residue constituting the interaction pocket with the analyzed ligands within a radius of up to 10.0 Å. The analysis of the interaction energies showed an order of priority among the ligands, highlighting CG as the most promising. The observation of the interactions between amino acid residues and ligands identified significant contributions from residues VAL70, PHE64, PHE82, and PHE86. In addition, residues such as PRO62, MET136, MET157, and VAL115 stand out as key components of the protein active site. These findings offer strategic insights into the molecular mechanisms underlying the binding of the studied ligands to SIRT6, providing a deep understanding of their affinity and pharmacological potential.
Pharmacokinetics, quantum chemistry, and molecular modeling analysis of six potential drug candidates for Chagas disease: posaconazole, K777, phenarimol derivative, BZTS, isoxazole analog, and derivative of 4-arylaminonoline-3-carbonitrile Gabriel Christian de Farias Morais, Marianna de Oliveira Corrêa, Daniel Melo de Oliveira Campos, Samira Sanami, Shahina Akter, Magdi E. A. Zaki, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira Future Microbiology, 2026 AIM: , lacks safe and effective therapies. This study aimed to prioritize antichagasic candidates by integrating in silico pharmacokinetics, ADMET (absorption, distribution, metabolism, excretion and toxicity) profile and molecular modeling, focusing on cruzain as a key target. MATERIALS AND METHODS: Six prototypes: posaconazole, vinyl sulfone peptide analog, phenarimol derivative, 4-nitrobenzaldehyde thiosemicarbazone (BZTS), an isoxazole analog and a 4-arylaminonoline-3-carbonitrile derivative; were profiled using multi-platform ADMET prediction, quantum calculations, molecular docking and QM/MM (Quantum Mechanics/Molecular Mechanics) refinement of cruzain complexes. RESULTS: BZTS showed high human intestinal absorption, balanced aqueous solubility, optimal plasma protein binding and limited interaction with major cytochrome P450 isoforms, indicating favorable exposure and a low risk of drug - drug interactions. Toxicity models indicated reduced risk of cardiotoxicity, carcinogenicity and hepatotoxicity compared with the other prototypes. Quantum descriptors supported a stable but reactive electronic structure, with a HOMO - LUMO gap of 2.482 eV. Docking and QM/MM analyses revealed strong binding of BZTS to cruzain, with key contacts involving residues GLU208, MET68, LEU67 and ASN69. CONCLUSION: pipeline consistently identified BZTS as the most promising antichagasic prototype, combining advantageous ADMET properties with favorable quantum-chemical features and cruzain binding, and supporting its prioritization for experimental validation.
Targeting Amastigote and Trypomastigote Phases: Multi-Epitope Vaccine Strategy Against Trypanosoma cruzi Maria Karolaynne da Silva, Caio Patrício de Souza Sena, Davi Serradella Vieira, Magdi E. A. Zaki, Leow Chiuan Yee, Shahina Akter, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira, João Firmino Rodrigues‐Neto Biotechnology and Applied Biochemistry, 2026 Effective vaccines against Trypanosoma cruzi , the causative agent of Chagas disease, are urgently needed. Here, we report the design and in silico validation of a novel multiepitope vaccine construct targeting the key surface proteins ASP‐2 and gp82. Using a comprehensive immunoinformatics pipeline, we identified and selected 38 potent T‐cell (CTL/HTL) and B‐cell epitopes, ensuring high antigenicity, immunogenicity, and safety. The final chimeric protein, integrated with adjuvants and stabilizing linkers, demonstrated favorable physicochemical properties, high solubility, and was predicted to be non‐allergenic and non‐toxic, with a significant population coverage of approximately 62% in Latin America. Structural modeling and refinement confirmed a stable tertiary structure. Crucially, molecular docking predicted high‐affinity interactions with the immune receptors TLR2 and TLR4 (docking scores: −1360.4 and −1278.7, respectively). The stability and flexibility of these vaccine–receptor complexes were further validated by 300 ns molecular dynamics simulations. Finally, codon optimization and in silico cloning projected high expression potential in an Escherichia coli system. Immune simulations predicted robust responses: Innate (elevated cytokines, dendritic cell activation), humoral (IgG/IgM production), and cellular (CD4+/CD8+/memory T‐cell activation) across simulated doses. These findings strongly support the potential of this vaccine candidate and provide a solid foundation for its further preclinical development against T. cruzi .
Design, synthesis, and characterization of guanidine derivative with broad-spectrum antimicrobial and antidiabetic inhibitory activities: a comprehensive spectroscopic and computational study Mashood F. M. Ahamed, Gabriel Christian de Farias Morais, M. Kavimani, Soumik De, Yaseen Mowlana, M. Dharsan. K, Md. Eram Hosen, Al-Anood M. Al-Dies, Daniel Melo de Oliveira Campos, Davi Serradella Vieira, Magdi E. A. Zaki, Jonas Ivan Nobre Oliveira Future Microbiology, 2026 AIMS: approaches. MATERIALS AND METHODS: . α-Amylase inhibition was determined by enzyme assays, and docking, quantum mechanics-molecular mechanics (QM/MM), and density functional theory (DFT) calculations were used to elucidate binding to α-amylase. RESULTS: of 81.70 µg/mL (acarbose: 20.41 µg/mL). Computational analyses supported stable complexation (binding energy -65.16 kcal/mol) and favorable residue-level contacts. absorption, distribution, metabolism, excretion, and toxicity (ADMET) predictions indicated high aqueous solubility (Log S -2.8), low acute toxicity (predicted LD50 > 2000 mg/kg), and overall drug-like properties. CONCLUSIONS: GHC shows broad-spectrum antimicrobial activity and measurable α-amylase inhibition, warranting further optimization to improve efficacy and pharmacokinetics.
Oroxylum indicum (L.) Bark Ameliorates Anxiety and Depression: Evidence From Experimental and Computational Studies Md. Aktaruzzaman, Md. Enamul Kabir Talukder, Trina Mitra, Md. Asibur Rahman, Md. Tarikul Islam, Jannatul Ferdous, Nazmul Hossain, Ahmed Saif, Jonas Ivan Nobre Oliveira, Md. Obayed Raihan, Saira Rehman, Bratati Sikdar, Kishore Kumar Sarkar Food Science and Nutrition, 2026 This study evaluated the antioxidant and neuropharmacological potentials of methanol extract of Oroxylum indicum bark (MOIB) to advocate the scientific basis of its traditional use in medical folklore. The preliminary phytochemical screening and GC–MS analysis identified twenty phytochemicals in MOIB. Besides, in EPM, MOIB exhibited an increase in time spent and the number of entries in open arms while an enhancement in head dipping was demonstrated by MOIB in HBT compared to control, indicating anxiolytic activities. Furthermore, a dose‐dependent reduction in locomotor activities together with immobility time was revealed by MOIB in the hole cross test, open field test, and tail suspension test, forced swimming test, respectively in comparison to that of control suggesting sedative and antidepressant activities. Again, the molecular docking analysis revealed two compounds CID 550198 and CID 10393 with a good binding affinity to all the targeted receptors together with promising pharmacokinetic and toxicity profiles evident from ADME/T analysis. Consequently, the respective molecular dynamic simulation study confirmed the stability of the protein‐ligand complexes. Moreover, two compounds with CID 550198 and CID 10393 might be used as natural lead compounds for the treatment of anxiety, sleep disorders, and depression. Yet, advanced studies are required to reveal the fundamental mechanism of these activities.
Development of a broad-spectrum epitope-based vaccine against Streptococcus pneumoniae Md. Nahian, Muhammad Shahab, Md. Rasel Khan, Shopnil Akash, Tanjina Akhtar Banu, Murshed Hasan Sarkar, Barna Goswami, Sanjana Fatema Chowdhury, Mohammad Ariful Islam, Ahmed Abu Rus’d, Shamima Begum, Ahashan Habib, Aftab Ali Shaikh, Jonas Ivan Nobre Oliveira, Shahina Akter Plos One, 2025
Bibliometric analysis of the use of Immunoinformatics in the production of SARS-CoV-2 vaccine prototypes Revista Cubana De Informacion En Ciencias De La Salud, 2024
Investigating whether H5N1 is a risk to human populations in Brazil Claudio Bruno Silva de Oliveira, Joelma Maria de Araújo Andrade, Shahina Akter, Maria Karolaynne da Silva, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira Revista Da Sociedade Brasileira De Medicina Tropical, 2024
Exploring Quercetin Hydrate’s Potential as an Antiviral Treatment for Oropouche Virus Gabriela de Lima Menezes, Marielena Vogel Saivish, Lívia Sacchetto, Gislaine Celestino Dutra da Silva, Igor da Silva Teixeira, Natalia Franco Bueno Mistrão, Maurício Lacerda Nogueira, Jonas Ivan Nobre Oliveira, Katyanna Sales Bezerra, Roosevelt Alves da Silva, Umberto Laino Fulco Biophysica, 2023
Effects of histamine on the contractility of the rat distal cauda epididymis Francisco Mateus Gonçalves Trajano, Luana Talinne da Costa Gomes, Pedro Brüch Dantas, Maele Oliveira de Sena, Jonas Ivan Nobre Oliveira, Sabatino Ventura, Elaine Cristina Gavioli, Edilson Dantas da Silva Junior European Journal of Pharmacology, 2023
Monkeypox: A looming concern for children? Claudio Bruno Silva de Oliveira, Joelma Maria de Araújo Andrade, Jonas Ivan Nobre Oliveira Asian Pacific Journal of Tropical Medicine, 2022
Energetic description of cilengitide bound to integrin José X. Lima Neto, Katyanna S. Bezerra, Dalila N. Manso, Kyvia B. Mota, Jonas I. N. Oliveira, Eudenilson L. Albuquerque, Ewerton W. S. Caetano, Valder N. Freire, Umberto L. Fulco New Journal of Chemistry, 2017
Electronic transport in methylated fragments of DNA M. L. de Almeida, J. I. N. Oliveira, J. X. Lima Neto, C. E. M. Gomes, U. L. Fulco, E. L. Albuquerque, V. N. Freire, E. W. S. Caetano, F. A. B. F. de Moura, M. L. Lyra Applied Physics Letters, 2015
Computational identification of conserved dengue virus envelope protein epitopes for vaccine design and immunodiagnostic platform MK da Silva, UL Fulco, T Alqahtani, ER Sindi, JIN Oliveira, YA Zerihun, ... Scientific Reports , 2026 2026
Immunoinformatics approach to engineer a multi-epitope vaccine against SdrG in skin commensal Staphylococcus epidermidis S Akter, GVR Silva, JIN Oliveira, UL Fulco, X Xu, YV Fu Plos one 21 (3), e0327534 , 2026 2026 Citations: 1
Comparative pharmacoinformatic and quantum descriptor insights from BFM/GBTLI guidelines to phase I/II compounds for acute lymphoblastic leukemia (ALL) IAF Bahia, MK da Silva, ER Sindi, JF Rodrigues-Neto, ED da Silva Jr, ... Scientific Reports , 2026 2026
Structure-based drug design of sanguinarine derivatives targeting Babesia microti lactate dehydrogenase through computational approaches MA Ali, T Alqahtani, ER Sindi, I Bayıl, MNH Mollah, G de Lima Menezes, ... Journal of Molecular Graphics and Modelling, 109324 , 2026 2026
Design, synthesis, and characterization of guanidine derivative with broad-spectrum antimicrobial and antidiabetic inhibitory activities: a comprehensive spectroscopic and … MFM Ahamed, GC de Farias Morais, M Kavimani, S De, Y Mowlana, ... Future Microbiology 21 (3), 279-297 , 2026 2026
Quantum Biochemistry Insights into Ligand Recognition at the a 1A -Adrenoceptor L Talinne da Costa Gomes, KS Bezerra, EC Gavioli, JI Nobre Oliveira, ... ACS omega 11 (7), 11403-11416 , 2026 2026
Uncovering Plant-Derived Compounds to Treat Alzheimer's Disease by Targeting the Acetylcholinesterase Enzyme through Computational Studies S Rana, A Kumer, N Hossain, SN Sezin, MT Islam, NU Molla, MN Hosen, ... In Silico Research in Biomedicine, 100234 , 2026 2026
Pharmacokinetics, quantum chemistry, and molecular modeling analysis of six potential drug candidates for Chagas disease: posaconazole, K777, phenarimol derivative, BZTS … GC de Farias Morais, M de Oliveira Corrêa, DM de Oliveira Campos, ... Future Microbiology 21 (2), 105-125 , 2026 2026
Oroxylum indicum (L.) Bark Ameliorates Anxiety and Depression: Evidence From Experimental and Computational Studies M Aktaruzzaman, MEK Talukder, T Mitra, MA Rahman, MT Islam, ... Food Science & Nutrition 14 (1), e71391 , 2026 2026
Therapeutic Perspectives of SIRT6 Regulation: Computational Analysis of Activation and Inhibition by Bioactive Molecules ÉG de Carvalho Matias, KS Bezerra, WSC Junior, JIN Oliveira, DS Galvão, ... Journal of Molecular Recognition 39 (1), e70016 , 2026 2026
Chromene-Thiazole Derivatives as Potential SARS-CoV-2 M pro Inhibitors: Synthesis and Computational Studies LD Stettler, VT Kopysciansky, JE Poor, GL Menezes, E VanNoy, ... ACS omega 10 (51), 62757-62774 , 2025 2025
Assessment of Annona muricata Phytochemicals as 17β‐HSD1 Inhibitors through Molecular Docking, Dynamics Simulation, DFT, and ADMET Analyses ER Sindi, MJI Polash, GB Alves, I Bayil, SO Afolabi, HM Alharbi, ... Journal of Cellular and Molecular Medicine 29 (21), e70904 , 2025 2025 Citations: 1
Rising surgical site infections and antibiotic resistance: current status and potential therapeutic strategies KU Ahamed, ER Sindi, T Alqahtani, H Al Shmrany, MK Da Silva, ... International Journal of Surgery 111 (11), 8787-8791 , 2025 2025
Atomoxetine: toxicological aspects of a new treatment for attention deficit hyperactivity disorder in Brazil GCF Morais, S Akash, ED da Silva Junior, CBS de Oliveira, ... Trends in Psychiatry and Psychotherapy 47, e20240798 , 2025 2025 Citations: 2
Do the anti-reproductive effects of fluoxetine involve changes in seminal vesicle contraction? A preclinical study ED da Silva Junior, JIN Oliveira, EC Gavioli Brazilian Journal of Health and Pharmacy 7 (4), 19-27 , 2025 2025
Comprehensive evaluation of potential EBOV inhibitors using advanced molecular modeling techniques: implications for anti-Ebola therapeutics and rational drug design GCF Morais, CP de Souza Sena, GVR Silva, GB Alves, DS Vieira, ... Future Journal of Pharmaceutical Sciences 11 (1), 145 , 2025 2025 Citations: 1
Identification of therapeutic compounds targeting phosphatidylinositol 3-Kinase (PI3K) through molecular docking, dynamics simulation, and DFT calculations JZ Tayyeb, I Bayıl, T Alqahtani, GVR Silva, GB Alves, AAM Al-Dies, ... Computational biology and chemistry 118, 108433 , 2025 2025 Citations: 4
Computational study of anhydrous triclinic alprazolam crystals: structural, electronic, optical, vibrational properties and Hirshfeld surface analysis RL Araújo, UL Fulco, JIN Oliveira, EL Albuquerque, ML Lyra, V Manzoni International Journal of Modern Physics B 39 (24), 2550224 , 2025 2025
Integrating classical and quantum mechanics in melatonin receptors for structure-guided drug design G de Lima Menezes, GVR da Silva, KS Bezerra, MV Saivish, ... Academia Biology 3 (3) , 2025 2025
Potential inhibitors of Zika Virus Envelope Protein Through Molecular Docking, and Dynamics Simulation Analyses JZ Tayyeb, MK da Silva, AA Al-Mutairi, HM Alharbi, AA Khojah, I Bayıl, ... Virus Research, 199630 , 2025 2025 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Binding energies of the drugs capreomycin and streptomycin in complex with tuberculosis bacterial ribosome subunits JF Vianna, KS Bezerra, JIN Oliveira, EL Albuquerque, UL Fulco Physical Chemistry Chemical Physics 21 (35), 19192-19200 , 2019 2019 Citations: 59
Quantum molecular modelling of ibuprofen bound to human serum albumin DS Dantas, JIN Oliveira, JXL Neto, RF da Costa, EM Bezerra, VN Freire, ... RSC Advances 5 (61), 49439-49450 , 2015 2015 Citations: 59
SARS‐CoV‐2 virus infection: targets and antiviral pharmacological strategies DM de Oliveira Campos, UL Fulco, CBS de Oliveira, JIN Oliveira Journal of evidence-based medicine 13 (4), 255 , 2020 2020 Citations: 51
Impression management and self-presentation dissimulation in Portuguese chairman’s statements J Oliveira, G Azevedo, F Borges Corporate Communications: An International Journal 21 (3), 388-408 , 2016 2016 Citations: 47
A quantum chemistry investigation of a potential inhibitory drug against the dengue virus GS Ourique, JF Vianna, JXL Neto, JIN Oliveira, PW Mauriz, ... RSC advances 6 (61), 56562-56570 , 2016 2016 Citations: 36
Quantum biochemistry study of the T3-785 tropocollagen triple-helical structure CRF Rodrigues, JIN Oliveira, UL Fulco, EL Albuquerque, RM Moura, ... Chemical Physics Letters 559, 88-93 , 2013 2013 Citations: 35
Ribosomal RNA–aminoglycoside hygromycin b interaction energy calculation within a density functional theory framework KS Bezerra, UL Fulco, SC Esmaile, JX Lima Neto, LD Machado, VN Freire, ... The Journal of Physical Chemistry B 123 (30), 6421-6429 , 2019 2019 Citations: 33
A quantum biochemistry model of the interaction between the estrogen receptor and the two antagonists used in breast cancer treatment KB Mota, JXL Neto, AHL Costa, JIN Oliveira, KS Bezerra, EL Albuquerque, ... Computational and Theoretical Chemistry 1089, 21-27 , 2016 2016 Citations: 31
Exploiting reverse vaccinology approach for the design of a multiepitope subunit vaccine against the major SARS-CoV-2 variants DM de Oliveira Campos, MK da Silva, ED Barbosa, CY Leow, UL Fulco, ... Computational biology and chemistry 101, 107754 , 2022 2022 Citations: 30
Molecular modelling and quantum biochemistry computations of a naturally occurring bioremediation enzyme: Alkane hydroxylase from Pseudomonas putida P1 BG De Sousa, JIN Oliveira, EL Albuquerque, UL Fulco, VE Amaro, ... Journal of Molecular Graphics and Modelling 77, 232-239 , 2017 2017 Citations: 30
Advances of reverse vaccinology for mRNA vaccine design against SARS-CoV-2: a review of methods and tools MK da Silva, DMO Campos, S Akash, S Akter, LC Yee, UL Fulco, ... Viruses 15 (10), 2130 , 2023 2023 Citations: 29
Quantum binding energy features of the T3-785 collagen-like triple-helical peptide KS Bezerra, JIN Oliveira, JXL Neto, EL Albuquerque, EWS Caetano, ... RSC Advances 7 (5), 2817-2828 , 2017 2017 Citations: 29
Intermolecular interactions of cn-716 and acyl-KR-aldehyde dipeptide inhibitors against Zika virus DMO Campos, KS Bezerra, SC Esmaile, UL Fulco, EL Albuquerque, ... Physical Chemistry Chemical Physics 22 (27), 15683-15695 , 2020 2020 Citations: 28
Exploring the Binding Mechanism of GABA B Receptor Agonists and Antagonists through in Silico Simulations JX Lima Neto, KS Bezerra, ED Barbosa, JIN Oliveira, V Manzoni, ... Journal of chemical information and modeling 60 (2), 1005-1018 , 2019 2019 Citations: 28
Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis G Sharma, N Kumar, CS Sharma, T Alqahtani, YK Tiruneh, S Sultana, ... Scientific Reports 15 (1), 2830 , 2025 2025 Citations: 27
Fighting covid-19 DMO Campos, CBS Oliveira, JMA Andrade, JIN Oliveira Brazilian Journal of Biology 80 (3), 698-701 , 2020 2020 Citations: 26
Interaction energies between two antiandrogenic and one androgenic agonist receptor in the presence of a T877A mutation in prostate cancer: a quantum chemistry analysis KS Bezerra, JF Vianna, JXL Neto, JIN Oliveira, EL Albuquerque, UL Fulco New Journal of Chemistry 44 (15), 5903-5912 , 2020 2020 Citations: 24
Computational investigation of the α 2 β 1 integrin–collagen triple helix complex interaction KS Bezerra, JXL Neto, JIN Oliveira, EL Albuquerque, EWS Caetano, ... New Journal of Chemistry 42 (20), 17115-17125 , 2018 2018 Citations: 24
Energetic description of cilengitide bound to integrin JXL Neto, KS Bezerra, DN Manso, KB Mota, JIN Oliveira, EL Albuquerque, ... New Journal of Chemistry 41 (19), 11405-11412 , 2017 2017 Citations: 23
In silico evaluation of the binding energies of androgen receptor agonists in wild-type and mutational models ACC Albuquerque, KS Bezerra, J de Fátima Vianna, SO Batista, ... The Journal of Physical Chemistry B 127 (22), 5005-5017 , 2023 2023 Citations: 20