All Stories

  1. MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry
  2. New Experimental and Computational Tools for Drug Discovery - Part-VIII
  3. New Experimental and Computational Tools for Drug Discovery. - Part-VII
  4. New Experimental and Computational Tools for Drug Discovery: Medicinal Chemistry, Molecular Docking, and Machine Learning - Part-VI
  5. New Experimental and Computational Tools for Drug Discovery: Medicinal Chemistry, Personalized Medicine, Ethical & Legal Issues – Part-V
  6. New Experimental and Computational Tools for Drug Discovery: From Chemistry to Biology. Metabolomics, Pharmacokinetics, and Medicinal Chemistry. Part - IV
  7. Multi-Target Mining of Alzheimer Disease Proteome with Hansch’s QSBR-Perturbation Theory and Experimental-Theoretic Study of New Thiophene Isosters of Rasagiline
  8. Experimental-Theoretic Approach to Drug-Lymphocyte Interactome Networks with Flow Cytometry and Spectral Moments Perturbation Theory
  9. Brain-inspired cheminformatics of drug-target brain interactome, synthesis, and assay of TVP1022 derivatives
  10. Chemometric approach to fatty acid metabolism-distribution networks and methane production in ruminal microbiome
  11. Editorial: MOL2NET 2015, International Conference on Multidisciplinary Sciences.
  12. Multiscale Mapping of AIDS in U.S. Countries vs Anti-HIV Drugs Activity with Complex Networks and Information Indices
  13. MIANN Models of Networks of Biochemical Reactions, Ecosystems, and U.S. Supreme Court with Balaban-Markov Indices
  14. MI-NODES Multiscale Models of Metabolic Reactions, Brain Connectome, Ecological, Epidemic, World Trade, and Legal-Social Networks
  15. Editorial (Thematic Issue: Multiscale Models in Cheminformatics, Complex Bio-Molecular Systems, and Social Networks)
  16. Self-Assembled Binary Nanoscale Systems: Multioutput Model with LFER-Covariance Perturbation Theory and an Experimental–Computational Study of NaGDC-DDAB Micelles
  17. Bio-AIMS Collection of Chemoinformatics Web Tools based on Molecular Graph Information and Artificial Intelligence Models
  18. Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties
  19. Multi-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway
  20. Experimental and computational studies of fatty acid distribution networks
  21. Mitoprotective activity of oxidized carbon nanotubes against mitochondrial swelling induced in multiple experimental conditions and predictions with new expected-value perturbation theory
  22. Computational Tool for Risk Assessment of Nanomaterials: Novel QSTR-Perturbation Model for Simultaneous Prediction of Ecotoxicity and Cytotoxicity of Uncoated and Coated Nanoparticles under Multiple Experimental Conditions
  23. Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions
  24. Galvez-Markov Network Transferability Indices: Review of Classic Theory and New Model for Perturbations in Metabolic Reactions
  25. Editorial (Thematic Issue: Chemoinformatics in Metabolomics, From Molecular Mechanics, Dynamics, and Docking to Complex Metabolic Networks, Part 2)
  26. Mapping networks of anti-HIV drug cocktails vs. AIDS epidemiology in the US counties
  27. Prediction of Neurological Enzyme Targets for Known and New Compounds with a Model using Galvez's Topological Indices
  28. Matrix Trace Operators: From Spectral Moments of Molecular Graphs and Complex Networks to Perturbations in Synthetic Reactions, Micelle Nanoparticles, and Drug ADME Processes
  29. QSPR and Flow Cytometry Analysis (QSPR-FCA): Review and New Findings on Parallel Study of Multiple Interactions of Chemical Compounds with Immune Cellular and Molecular Targets
  30. Editorial (Thematic Issue: Chemoinformatics in Metabolomics, Modeling Chemical Reactivity and ADMET Processes Part 1)
  31. Prediction of Multi-Target Networks of Neuroprotective Compounds with Entropy Indices and Synthesis, Assay, and Theoretical Study of New Asymmetric 1,2-Rasagiline Carbamates
  32. Computer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach
  33. Markov mean properties for cell death-related protein classification
  34. Editorial (Thematic Issue: From Phytochemistry to Medicinal Chemistry: Isolation, Semisynthesis, Evaluation and Computational Studies)
  35. Editorial (Thematic Issue: Nanocarriers & Drug Delivery: Rational Design and Applications)
  36. ANN Multiscale Model of Anti-HIV Drugs Activity vs AIDS Prevalence in the US at County Level Based on Information Indices of Molecular Graphs and Social Networks
  37. LECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design
  38. A QSPR-like model for multilocus genotype networks of Fasciola hepatica in Northwest Spain
  39. Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors
  40. Model for high-throughput screening of drug immunotoxicity – Study of the anti-microbial G1 over peritoneal macrophages using flow cytometry
  41. Model for Vaccine Design by Prediction of B-Epitopes of IEDB Given Perturbations in Peptide Sequence, In Vivo Process, Experimental Techniques, and Source or Host Organisms
  42. Using Bob-Jenkins Operators and Spectral Moments to Predict In-Out Perturbations in the Synthetic Pathways involving Assymetric Catalysis of Intra-molecular Carbolithiations
  43. Computational model for multiplex assay of drug immunotoxicity in macrophage - study of the anti-microbial G1 using flow cytometry
  44. Model for High-Throughput Screening of Multitarget Drugs in Chemical Neurosciences: Synthesis, Assay, and Theoretic Study of Rasagiline Carbamates
  45. General Theory for Multiple Input-Output Perturbations in Complex Molecular Systems. 1. Linear QSPR Electronegativity Models in Physical, Organic, and Medicinal Chemistry
  46. Editorial (Hot Topic: Bioinformatics and Quantitative Structure-Property Relationship (QSPR) Models)
  47. Markov-Randic Indices for QSPR Re-Evaluation of Metabolic, Parasite- Host, Fasciolosis Spreading, Brain Cortex and Legal-Social Complex Networks
  48. S2SNet: A Tool for Transforming Characters and Numeric Sequences into Star Network Topological Indices in Chemoinformatics, Bioinformatics, Biomedical, and Social-Legal Sciences
  49. Editorial (Hot Topic : Computational Prediction of Drug-Target Interactions in Medicinal Chemistry)
  50. Entropy Model for Multiplex Drug-Target Interaction Endpoints of Drug Immunotoxicity
  51. MIANN Models in Medicinal, Physical and Organic Chemistry
  52. TOPS-MODE model of multiplexing neuroprotective effects of drugs and experimental-theoretic study of new 1,3-rasagiline derivatives potentially useful in neurodegenerative diseases
  53. The Rücker–Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics
  54. New Markov-Autocorrelation Indices for Re-evaluation of Links in Chemical and Biological Complex Networks used in Metabolomics, Parasitology, Neurosciences, and Epidemiology
  55. ANN multiplexing model of drugs effect on macrophages; theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen
  56. 3D MI-DRAGON: New Model for the Reconstruction of US FDA Drug- Target Network and Theoretical-Experimental Studies of Inhibitors of Rasagiline Derivatives for AChE
  57. Immunotoxicity, Flow Cytometry, and Chemoinformatics: Review, Bibliometric Analysis, and New QSAR Model of Drug Effects Over Macrophages
  58. From QSAR models of Drugs to Complex Networks: State-of-Art Review and Introduction of New Markov-Spectral Moments Indices
  59. Generalized String Pseudo-Folding Lattices in Bioinformatics: State-of-Art Review, New Model for Enzyme Sub-Classes, and Study of ESTs on Trichinella spiralis
  60. Editorial [Hot Topic: QSAR/QSPR Models as Enabling Technologies for Drug & Targets Discovery in: Medicinal Chemistry, Microbiology-Parasitology, Neurosciences, Bioinformatics, Proteomics and Other Biomedical Sciences (Guest Editor: Humberto Gonzalez Di...
  61. LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteria
  62. Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer
  63. New Markov–Shannon Entropy models to assess connectivity quality in complex networks: From molecular to cellular pathway, Parasite–Host, Neural, Industry, and Legal–Social networks
  64. Review of Computer-Aided Models for Predicting Collagen Stability
  65. Editorial {Hot topic: QSPR Models for Computer-Aided Drug Design in Microbiology, Parasitology, and Pharmacology (Guest Editor: Humberto Gonzalez-Diaz)]
  66. From Chemical Graphs in Computer-Aided Drug Design to General Markov-Galvez Indices of Drug-Target, Proteome, Drug-Parasitic Disease, Technological, and Social-Legal Networks
  67. 2D MI-DRAGON: A new predictor for protein–ligands interactions and theoretic-experimental studies of US FDA drug-target network, oxoisoaporphine inhibitors for MAO-A and human parasite proteins
  68. Entropy multi-target QSAR model for prediction of antiviral drug complex networks
  69. Using the TOPS-MODE approach to fit multi-target QSAR models for tyrosine kinases inhibitors
  70. NL MIND-BEST: A web server for ligands and proteins discovery—Theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum
  71. Using entropy of drug and protein graphs to predict FDA drug-target network: Theoretic-experimental study of MAO inhibitors and hemoglobin peptides from Fasciola hepatica
  72. Editorial[Hot Topic:Applications of Topological Indices and Complex Networks in Bioinformatics(Guest Editor: Humberto Gonzalez-Diaz)]
  73. Network Topological Indices from Chem-Bioinformatics to Legal Sciences and back
  74. Definition of Markov-Harary Invariants and Review of Classic Topological Indices and Databases in Biology, Parasitology, Technology,and Social-Legal Networks
  75. MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens
  76. First computational chemistry multi-target model for anti-Alzheimer, anti-parasitic, anti-fungi, and anti-bacterial activity of GSK-3 inhibitors in vitro, in vivo, and in different cellular lines
  77. Review of QSAR Models for Enzyme Classes of Drug Targets: Theoretical Background and Applications in Parasites, Hosts and Other Organisms
  78. Predicting Drugs and Proteins in Parasite Infections with Topological Indices of Complex Networks: Theoretical Backgrounds, Applications and Legal Issues
  79. Editorial [Hot topic: QSAR and Complex Networks in Pharmaceutical Design, Microbiology, Parasitology, Toxicology, Cancer and Neurosciences (Executive Editor: Humberto Gonzalez-Diaz)]
  80. Editorial [Hot topic: Network Topological Indices, Drug Metabolism, and Distribution (Guest Editor: H. Gonzalez-Diaz)]
  81. Review of MARCH-INSIDE & Complex Networks Prediction of Drugs: ADMET, Anti-parasite Activity, Metabolizing Enzymes and Cardiotoxicity Proteome Biomarkers
  82. Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species
  83. Unified QSAR & network-based computational chemistry approach to antimicrobials. II. Multiple distance and triadic census analysis of antiparasitic drugs complex networks
  84. Plasmod-PPI: A web-server predicting complex biopolymer targets in plasmodium with entropy measures of protein–protein interactions
  85. Editorial
  86. QSAR Models for Proteins of Parasitic Organisms, Plants and Human Guests: Theory, Applications, Legal Protection, Taxes, and Regulatory Issues
  87. Study of Parasitic Infections, Cancer, and other Diseases with Mass-Spectrometry and Quantitative Proteome-Disease Relationships
  88. A network-QSAR model for prediction of genetic-component biomarkers in human colorectal cancer
  89. Protein Graphs in Cancer Prediction
  90. Multi-target spectral moments for QSAR and Complex Networks study of antibacterial drugs
  91. Scoring function for DNA–drug docking of anticancer and antiparasitic compounds based on spectral moments of 2D lattice graphs for molecular dynamics trajectories
  92. Multi-target spectral moment: QSAR for antiviral drugs vs. different viral species
  93. Multi-target spectral moment: QSAR for antifungal drugs vs. different fungi species
  94. Computational chemistry study of 3D-structure-function relationships for enzymes based on Markov models for protein electrostatic, HINT, and van der Waals potentials
  95. QSAR for RNases and theoretic–experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein
  96. Study of peptide fingerprints of parasite proteins and drug–DNA interactions with Markov-Mean-Energy invariants of biopolymer molecular-dynamic lattice networks
  97. Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices
  98. Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices
  99. QSAR and complex network study of the chiral HMGR inhibitor structural diversity
  100. Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug–drug complex networks
  101. Editorial [Hot Topic: Quantitative studies on Structure-Activity and Structure-Property Relationships (QSAR/QSPR) (Guest Editor: Humberto Gonzalez-Diaz)]
  102. Predicting Antimicrobial Drugs and Targets with the MARCH-INSIDE Approach
  103. Multi-target QSPR assemble of a Complex Network for the distribution of chemicals to biphasic systems and biological tissues
  104. QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks
  105. Quantitative Proteome–Property Relationships (QPPRs). Part 1: Finding biomarkers of organic drugs with mean Markov connectivity indices of spiral networks of blood mass spectra
  106. Stochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: The blood proteome case
  107. Natural/random protein classification models based on star network topological indices
  108. Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices
  109. HP-Lattice QSAR for dynein proteins: Experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence
  110. Using spectral moments of spiral networks based on PSA/mass spectra outcomes to derive quantitative proteome–disease relationships (QPDRs) and predicting prostate cancer
  111. Unified QSAR approach to antimicrobials. Part 3: First multi-tasking QSAR model for Input-Coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds
  112. 3D-MEDNEs: An Alternative “in Silico” Technique for Chemical Research in Toxicology. 2. Quantitative Proteome−Toxicity Relationships (QPTR) based on Mass Spectrum Spiral Entropy
  113. Proteomics, networks and connectivity indices
  114. MMM-QSAR Recognition of Ribonucleases without Alignment:  Comparison with an HMM Model and Isolation fromSchizosaccharomyces pombe, Prediction, and Experimental Assay of a New Sequence
  115. Unified QSAR and network-based computational chemistry approach to antimicrobials, part 1: Multispecies activity models for antifungals
  116. Computational chemistry development of a unified free energy Markov model for the distribution of 1300 chemicals to 38 different environmental or biological systems
  117. Medicinal Chemistry and Bioinformatics - Current Trends in Drugs Discovery with Networks Topological Indices
  118. ANN-QSAR model for selection of anticancer leads from structurally heterogeneous series of compounds
  119. Computational chemistry approach to protein kinase recognition using 3D stochastic van der Waals spectral moments
  120. On the applicability of QSAR for recognition of miRNA bioorganic structures at early stages of organism and cell development: Embryo and stem cells
  121. A Model for the Recognition of Protein Kinases Based on the Entropy of 3D van der Waals Interactions
  122. Computational chemistry comparison of stable/nonstable protein mutants classification models based on 3D and topological indices
  123. Chemometrics for QSAR with low sequence homology: Mycobacterial promoter sequences recognition with 2D-RNA entropies
  124. QSAR study of anticoccidial activity for diverse chemical compounds: Prediction and experimental assay of trans-2-(2-nitrovinyl)furan
  125. 2D-RNA-coupling numbers: A new computational chemistry approach to link secondary structure topology with biological function
  126. Unified QSAR approach to antimicrobials. Part 2: Predicting activity against more than 90 different species in order to halt antibacterial resistance
  127. Unify QSAR approach to antimicrobials. Part 1: Predicting antifungal activity against different species
  128. Simple stochastic fingerprints towards mathematical modeling in biology and medicine. 3. ocular irritability classification model
  129. Simple Stochastic Fingerprints Towards Mathematical Modeling in Biology and Medicine 2. Unifying Markov Model for Drugs Side Effects
  130. 3D-QSAR study for DNA cleavage proteins with a potential anti-tumor ATCUN-like motif
  131. QSAR study for mycobacterial promoters with low sequence homology
  132. Stochastic entropy QSAR for the in silico discovery of anticancer compounds: Prediction, synthesis, and in vitro assay of new purine carbanucleosides
  133. A QSAR Model for in Silico Screening of MAO-A Inhibitors. Prediction, Synthesis, and Biological Assay of Novel Coumarins †
  134. Novel 2D maps and coupling numbers for protein sequences. The first QSAR study of polygalacturonases; isolation and prediction of a novel sequence fromPsidium guajavaL.
  135. Proteins QSAR with Markov average electrostatic potentials
  136. Unified drug–target interaction thermodynamic Markov model using stochastic entropies to predict multiple drugs side effects
  137. Stochastic molecular descriptors for polymers. 3. Markov electrostatic moments as polymer 2D-folding descriptors: RNA–QSAR for mycobacterial promoters
  138. Recognition of stable protein mutants with 3D stochastic average electrostatic potentials
  139. A topological substructural approach applied to the computational prediction of rodent carcinogenicity
  140. Stochastic molecular descriptors for polymers. 2. Spherical truncation of electrostatic interactions on entropy based polymers 3D-QSAR
  141. 3D QSAR Markov model for drug-induced eosinophilia—theoretical prediction and preliminary experimental assay of the antimicrobial drug G1
  142. QSAR for anti-RNA-virus activity, synthesis, and assay of anti-RSV carbonucleosides given a unified representation of spectral moments, quadratic, and topologic indices
  143. Design, synthesis and photobiological properties of 3,4-cyclopentenepsoralens
  144. Unified Markov thermodynamics based on stochastic forms to classify drugs considering molecular structure, partition system, and biological species:
  145. Stochastic-based descriptors studying biopolymers biological properties: Extended MARCH-INSIDE methodology describing antibacterial activity of lactoferricin derivatives
  146. Biopolymer stochastic moments. I. Modeling human rhinovirus cellular recognition with protein surface electrostatic moments
  147. Predicting stability of Arc repressor mutants with protein stochastic moments
  148. Protein Quadratic Indices of the “Macromolecular Pseudograph’s α-Carbon Atom Adjacency Matrix”. 1. Prediction of Arc Repressor Alanine-mutant’s Stability
  149. Nucleic Acid Quadratic Indices of the “Macromolecular Graph’s Nucleotides Adjacency Matrix”. Modeling of Footprints after the Interaction of Paromomycin with the HIV-1 Ψ-RNA Packaging Region
  150. Computational method to predict human intestinal absorption
  151. Stochastic-based descriptors studying peptides biological properties: modeling the bitter tasting threshold of dipeptides
  152. TOPS-MODE based QSARs derived from heterogeneous series of compounds. Applications to the design of new anti-inflammatory compounds
  153. Designing Antibacterial Compounds Through a Topological Substructural Approach.
  154. Markovian Backbone Negentropies: Molecular descriptors for protein research. I. Predicting protein stability in Arc repressor mutants
  155. A TOPS-MODE approach to predict permeability coefficients
  156. 3D-MEDNEs:  An Alternative “In Silico” Technique for Chemical Research in Toxicology. 1. Prediction of Chemically Induced Agranulocytosis
  157. TOPS-MODE Based QSARs Derived from Heterogeneous Series of Compounds. Applications to the Design of New Herbicides.