All Stories

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