All Stories

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