All Stories

  1. Practical computational exploration of chemical reaction space: Assessing the chemical stability of active pharmaceutical ingredients under acidic conditions
  2. Chemically Intuitive Descriptors for Predicting C–H Borylation Regioselectivity
  3. Computational Prediction of Substrate Scope of a Homogeneous Catalyst: The Case of Metal-free C-H Borylation by a Frustrated Lewis Pair Catalyst
  4. Computational prediction of C–H hydricities and their use in predicting the regioselectivity of electron-rich C–H functionalisation reactions
  5. CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2
  6. Computational prediction of C-H hydricities and their use in predicting the regioselectivity of electron rich C-H functionalisation reactions
  7. Finding Drug Candidate Hits With A Hundred Samples: Ultralow Data Screening With Active Learning
  8. CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13
  9. Enhancing chemical synthesis planning: automated quantum mechanics-based regioselectivity prediction for C–H activation with directing groups
  10. SMILES all around: structure to SMILES conversion for transition metal complexes
  11. A Deep Generative Model for the Inverse Design of Transition Metal Ligands and Complexes
  12. Finding Drug Candidate Hits With a Hundred Samples: Ultra-low Data Screening With Active Learning
  13. The need to implement FAIR principles in biomolecular simulations
  14. Enhancing Chemical Synthesis Planning: Automated Quantum Mechanics-Based Regioselectivity Prediction for C-H Activation with Directing Groups
  15. Atom-based machine learning for estimating nucleophilicity and electrophilicity with applications to retrosynthesis and chemical stability
  16. SMILES All Around: Structure to SMILES conversion for Transition Metal Complexes
  17. Predicting C-H activation through hydride affinity and homolytic bond dissociation energies
  18. Atom-Based Machine Learning for Estimating Nucleophilicity and Electrophilicity with Applications to Retrosynthesis and Chemical Stability
  19. pKalculator: A pKa predictor for C–H bonds
  20. Discovery of molybdenum based nitrogen fixation catalysts with genetic algorithms
  21. Discovery of molybdenum based nitrogen fixation catalysts with genetic algorithms
  22. pKalculator: A pKa predictor for C-H bonds
  23. Automated quantum chemistry for estimating nucleophilicity and electrophilicity with applications to retrosynthesis and covalent inhibitors
  24. Discovery of molybdenum based nitrogen fixation catalysts with genetic algorithms
  25. Toward De Novo Catalyst Discovery: Fast Identification of New Catalyst Candidates for Alcohol‐Mediated Morita–Baylis–Hillman Reactions**
  26. Toward De Novo Catalyst Discovery: Fast Identification of New Catalyst Candidates for Alcohol‐Mediated Morita–Baylis–Hillman Reactions**
  27. Automated Quantum Chemistry for Estimating Nucleophilicity and Electrophilicity with Applications to Retrosynthesis and Covalent Inhibitors
  28. Uncertain of uncertainties? A comparison of uncertainty quantification metrics for chemical data sets
  29. Genetic algorithm-based re-optimization of the Schrock catalyst for dinitrogen fixation
  30. Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction**
  31. Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction**
  32. Computational evolution of new catalysts for the Morita–Baylis–Hillman reaction
  33. Computational evolution of new catalysts for the Morita–Baylis–Hillman reaction
  34. What the Heck?─Automated Regioselectivity Calculations of Palladium-Catalyzed Heck Reactions Using Quantum Chemistry
  35. Do machines dream of atoms? Crippen's logP as a quantitative molecular benchmark for explainable AI heatmaps
  36. What the Heck? – Automated regioselectivity calculations of palladium-catalyzed Heckreactions using quantum chemistry
  37. Computational evolution of new catalysts for the Morita–Baylis–Hillman reaction
  38. Substituent Control of σ-Interference Effects in the Transmission of Saturated Molecules
  39. Fast and automated identification of reactions with low barriers using meta-MD simulations
  40. Do machines dream of atoms? A quantitative molecular benchmark for explainable AI heatmaps
  41. A Neural Network Approach for Property Determination of Molecular Solar Cell Candidates
  42. RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning
  43. Improved Selection of Rare Reactions in Template-Based Retrosynthesis Predictions
  44. Fast and automated identification of reactions with low barriers using meta-MD simulations
  45. Virtual screening of norbornadiene-based molecular solar thermal energy storage systems using a genetic algorithm
  46. Virtual screening of norbornadiene-based molecular solar thermal energy storage systems using a genetic algorithm
  47. RegioML: Predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning
  48. Fast and Automated Identification of Reactions with Low Barriers: The Decomposition of 3-Hydroperoxypropanal
  49. Virtual screening of norbornadiene-based molecular solar thermal energy storage systems using a genetic algorithm
  50. Fast and Automated Identification of Reactions with Low Barriers: The Decomposition of 3-Hydroperoxypropanal
  51. Fast and Automated Identification of Reactions with Low Barriers: The Decomposition of 3-Hydroperoxypropanal
  52. RegioSQM20: improved prediction of the regioselectivity of electrophilic aromatic substitutions
  53. High throughput virtual screening of 230 billion molecular solar heat battery candidates
  54. Using a Genetic Algorithm to Find Molecules with Good Docking Scores
  55. Using a Genetic Algorithm to Find Molecules with Good Docking Scores
  56. RegioSQM20: Improved Prediction of the Regioselectivity of Electrophilic Aromatic Substitutions
  57. High Throughput Virtual Screening of 230 Billion Molecular Solar Heat Battery Candidates
  58. High Throughput Virtual Screening of 230 Billion Molecular Solar Heat Battery Candidates
  59. Fast and Automatic Estimation of Transition State Structures Using Tight Binding Quantum Chemical Calculations
  60. Chemical Space Exploration: How Genetic Algorithms Find the Needle in the Haystack
  61. High Throughput Virtual Screening of 200 Billion Molecular Solar Heat Battery Candidates
  62. Graph-based Genetic Algorithm and Generative Model/Monte Carlo Tree Search for the Exploration of Chemical Space
  63. A graph-based genetic algorithm and generative model/Monte Carlo tree search for the exploration of chemical space
  64. The Bicyclo[2.2.2]octane Motif: A Class of Saturated Group 14 Quantum Interference Based Single-Molecule Insulators
  65. The Bicyclo[2.2.2]octane Motif: A Class of Saturated Group 14 Quantum Interference Based Single-molecule Insulators
  66. Graph-based Genetic Algorithm and Generative Model/Monte Carlo Tree Search for the Exploration of Chemical Space
  67. Searching for the origin of life using a computational search engine
  68. Searching for the origin of life using a computational search engine
  69. Improving solvation energy predictions using the SMD solvation method and semiempirical electronic structure methods
  70. Empirical corrections and pair interaction energies in the fragment molecular orbital method
  71. Improving Solvation Energy Predictions Using The SMD Solvation Method and Semiempirical Electronic Structure Methods
  72. Random versus Systematic Errors in Reaction Enthalpies Computed Using Semiempirical and Minimal Basis Set Methods
  73. Random Versus Systematic Errors in Reaction Enthalpies Computed Using Semi-empirical and Minimal Basis Set Methods
  74. Random Versus Systematic Errors in Reaction Enthalpies Computed Using Semi-empirical and Minimal Basis Set Methods
  75. Random Versus Systematic Errors in Reaction Enthalpies Computed Using Semi-empirical and Minimal Basis Set Methods
  76. Fast and accurate prediction of the regioselectivity of electrophilic aromatic substitution reactions
  77. Intermolecular interactions in the condensed phase: Evaluation of semi-empirical quantum mechanical methods
  78. Fast and Accurate Prediction of the Regioselectivity of Electrophilic Aromatic Substitution Reactions
  79. Prediction of pKa Values for Druglike Molecules Using Semiempirical Quantum Chemical Methods
  80. Which method is more accurate? or errors have error bars
  81. Which method is more accurate? or errors have error bars
  82. Protein structure refinement using a quantum mechanics-based chemical shielding predictor
  83. Prediction of pKa values for drug-like molecules using semiempirical quantum chemical methods
  84. Prediction of pKa values for drug-like molecules using semiempirical quantum chemical methods
  85. Prediction of pKa values for drug-like molecules using semiempirical quantum chemical methods
  86. Protein structure refinement using a quantum mechanics-based chemical shielding predictor
  87. Protein structure refinement using a quantum mechanics-based chemical shielding predictor
  88. Prediction of pKa values using the PM6 semiempirical method
  89. Prediction of pKa values using the PM6 semiempirical method
  90. Prediction of pKa values using the PM6 semiempirical method
  91. Towards a barrier height benchmark set for biologically relevant systems
  92. Towards a barrier height benchmark set for biologically relevant systems
  93. Towards a barrier height benchmark set for biologically relevant systems
  94. Towards a barrier height benchmark set for biologically relevant systems
  95. ProCS15: A DFT-based chemical shift predictor for backbone and Cβ atoms in proteins
  96. ProCS15: A DFT-based chemical shift predictor for backbone and Cβ atoms in proteins
  97. Bayesian inference of protein structure from chemical shift data
  98. Predicting accurate absolute binding energies in aqueous solution: thermodynamic considerations for electronic structure methods
  99. Effect of mutations on the thermostability of Aspergillus aculeatus β-1,4-galactanase
  100. Rationalization of the p K a Values of Alcohols and Thiols Using Atomic Charge Descriptors and Its Application to the Prediction of Amino Acid p K a ’s
  101. A third-generation dispersion and third-generation hydrogen bonding corrected PM6 method: PM6-D3H+
  102. Indium arsenide nanowire field-effect transistors for pH and biological sensing
  103. In Silico Prediction of Mutant HIV-1 Proteases Cleaving a Target Sequence
  104. FragBuilder: an efficient Python library to setup quantum chemistry calculations on peptides models
  105. Hybrid RHF/MP2 Geometry Optimizations with the Effective Fragment Molecular Orbital Method
  106. Protein Structure Validation and Refinement Using Amide Proton Chemical Shifts Derived from Quantum Mechanics
  107. Predicting pK a for proteins using COSMO-RS
  108. In silico screening of 393 mutants facilitates enzyme engineering of amidase activity in CalB
  109. The Molecule Calculator: A Web Application for Fast Quantum Mechanics-Based Estimation of Molecular Properties
  110. A computational method for the systematic screening of reaction barriers in enzymes: searching for Bacillus circulans xylanase mutants with greater activity towards a synthetic substrate
  111. Interface of the Polarizable Continuum Model of Solvation with Semi-Empirical Methods in the GAMESS Program
  112. Fully Integrated Effective Fragment Molecular Orbital Method
  113. PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure
  114. Mapping Enzymatic Catalysis Using the Effective Fragment Molecular Orbital Method: Towards all ab initio Biochemistry
  115. Effects of buffer composition and dilution on nanowire field-effect biosensors
  116. A Computational Methodology to Screen Activities of Enzyme Variants
  117. BioFET-SIM Web Interface: Implementation and Two Applications
  118. FragIt: A Tool to Prepare Input Files for Fragment Based Quantum Chemical Calculations
  119. The Effective Fragment Molecular Orbital Method for Fragments Connected by Covalent Bonds
  120. Improved Treatment of Ligands and Coupling Effects in Empirical Calculation and Rationalization of p K a Values
  121. Definitive Benchmark Study of Ring Current Effects on Amide Proton Chemical Shifts
  122. PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical p K a Predictions
  123. Predicting and rationalizing the effect of surface charge distribution and orientation on nano-wire based FET bio-sensors
  124. Quantifying signal changes in nano-wire based biosensors
  125. Graphical analysis of pH-dependent properties of proteins predicted using PROPKA
  126. Effective Fragment Molecular Orbital Method: A Merger of the Effective Fragment Potential and Fragment Molecular Orbital Methods †
  127. Exchange repulsion between effective fragment potentials and ab initio molecules
  128. Analytic gradient for the adaptive frozen orbital bond detachment in the fragment molecular orbital method
  129. Energy gradients in combined fragment molecular orbital and polarizable continuum model (FMO/PCM) calculation
  130. Covalent Bond Fragmentation Suitable To Describe Solids in the Fragment Molecular Orbital Method
  131. Rationalization of the Difference in Lifetime of Two Covalent Sialosyl−Enzyme Intermediates of Trypanosoma rangeli Sialidase
  132. Short strong hydrogen bonds in proteins: a case study of rhamnogalacturonan acetylesterase
  133. Very fast prediction and rationalization of pKa values for protein-ligand complexes
  134. Role of the virtual orbitals and HOMO-LUMO gap in mean-field approximations to the conductance of molecular junctions
  135. Application driven software for chemistry
  136. Calculating pH and Salt Dependence of Protein-Protein Binding
  137. Protein-protein binding is often associated with changes in protonation state
  138. Prediction and Rationalization of the pH Dependence of the Activity and Stability of Family 11 Xylanases †
  139. Surface Reactions of Carbon Dioxide at the Adsorbed Water−Oxide Interface
  140. Sugar Folding:  A Novel Structural Prediction Tool for Oligosaccharides and Polysaccharides 2
  141. Sugar Folding:  A Novel Structural Prediction Tool for Oligosaccharides and Polysaccharides 1
  142. PDB2PQR: expanding and upgrading automated preparation of biomolecular structures for molecular simulations
  143. FTIR spectroscopy combined with quantum chemical calculations to investigate adsorbed nitrate on aluminium oxide surfaces in the presence and absence of co-adsorbed water
  144. Chapter 10 The Effective Fragment Potential: A General Method for Predicting Intermolecular Interactions
  145. Exploring the Role of the Active Site Cysteine in Human Muscle Creatine Kinase †
  146. Cooperative Hydrogen Bonding Effects Are Key Determinants of Backbone Amide Proton Chemical Shifts in Proteins
  147. Charge transfer interaction in the effective fragment potential method
  148. FTIR Spectroscopy Combined with Isotope Labeling and Quantum Chemical Calculations to Investigate Adsorbed Bicarbonate Formation Following Reaction of Carbon Dioxide with Surface Hydroxyl Groups on Fe2O3and Al2O3
  149. Molecular quantum mechanics to biodynamics: Essential connections
  150. Hydride Transfer versus Hydrogen Radical Transfer in Thymidylate Synthase
  151. Chemically accurate protein structures: Validation of protein NMR structures by comparison of measured and predicted pK a values
  152. Hydrogen bonding is the prime determinant of carboxyl pKa values at the N-termini of α-helices
  153. The polarizable continuum model (PCM) interfaced with the fragment molecular orbital method (FMO)
  154. Very fast empirical prediction and rationalization of protein pKa values
  155. Prediction and Rationalization of Protein p K a Values Using QM and QM/MM Methods
  156. Regiochemical Control by Remote Substituents - A Selective Synthesis of Angularly Fused Ring Systems
  157. Determinants of the Relative Reduction Potentials of Type-1 Copper Sites in Proteins
  158. The determinants of carboxyl pKa values in turkey ovomucoid third domain
  159. Improving the efficiency and convergence of geometry optimization with the polarizable continuum model: New energy gradients and molecular surface tessellation
  160. Determinants of cysteine pKa values in creatine kinase and α1-antitrypsin
  161. Intraprotein electrostatics derived from first principles: Divide-and-conquer approaches for QM/MM calculations
  162. NMR chemical shifts in the low-pH form of a-chymotrypsin. A QM/MM and ONIOM-NMR study
  163. Continuum solvation of large molecules described by QM/MM: a semi-iterative implementation of the PCM/EFP interface
  164. A Planar Tetracoordinate Carbon and Unusual Bonding in an Organodimetallic Propynylidene Complex Arising from Double C−H Activation of an Allene Ligand
  165. The Prediction of Protein p K a 's Using QM/MM:  The p K a of Lysine 55 in Turkey Ovomucoid Third Domain
  166. Partial Hessian vibrational analysis: the localization of the molecular vibrational energy and entropy
  167. Boundary Conditions for the Swain−Schaad Relationship as a Criterion for Hydrogen Tunneling
  168. Intermolecular exchange-induction and charge transfer: Derivation of approximate formulas using nonorthogonal localized molecular orbitals
  169. Modeling intermolecular exchange integrals between nonorthogonal molecular orbitals
  170. Applications of Parallel GAMESS
  171. Direct Total Syntheses of Frenolicin B and Kalafungin via Highly Regioselective Diels-Alder Reactions
  172. Effective Fragment Method for Modeling Intermolecular Hydrogen-Bonding Effects on Quantum Mechanical Calculations
  173. General atomic and molecular electronic structure system
  174. Splicing I: Using mixed basis sets inab initio calculations