Search Results - "Zhang, John Z"
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End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design
Published in Chemical reviews (28-08-2019)“…Molecular mechanics Poisson–Boltzmann surface area (MM/PBSA) and molecular mechanics generalized Born surface area (MM/GBSA) are arguably very popular methods…”
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Agency Selling or Reselling? Channel Structures in Electronic Retailing
Published in Management science (01-08-2016)“…In recent years, online retailers (also called e-tailers) have started allowing manufacturers direct access to their customers while charging a fee for…”
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Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation
Published in Nature communications (11-11-2020)“…Combustion is a complex chemical system which involves thousands of chemical reactions and generates hundreds of molecular species and radicals during the…”
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MolGpka: A Web Server for Small Molecule pKa Prediction Using a Graph-Convolutional Neural Network
Published in Journal of chemical information and modeling (26-07-2021)“…pKa is an important property in the lead optimization process since the charge state of a molecule in physiologic pH plays a critical role in its biological…”
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DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks
Published in Journal of chemical information and modeling (22-04-2019)“…Accurately predicting changes in protein stability due to mutations is important for protein engineering and for understanding the functional consequences of…”
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An accurate free energy estimator: based on MM/PBSA combined with interaction entropy for protein-ligand binding affinity
Published in Nanoscale (21-05-2020)“…The molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) method is constantly used to calculate the binding free energy of protein-ligand complexes,…”
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DeepBSPa Machine Learning Method for Accurate Prediction of Protein–Ligand Docking Structures
Published in Journal of chemical information and modeling (24-05-2021)“…In recent years, machine-learning-based scoring functions have significantly improved the scoring power. However, many of these methods do not perform well in…”
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DenseCPD: Improving the Accuracy of Neural-Network-Based Computational Protein Sequence Design with DenseNet
Published in Journal of chemical information and modeling (23-03-2020)“…Computational protein design remains a challenging task despite its remarkable success in the past few decades. With the rapid progress of deep-learning…”
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HergSPred: Accurate Classification of hERG Blockers/Nonblockers with Machine-Learning Models
Published in Journal of chemical information and modeling (25-04-2022)“…The human ether-à-go-go-related gene (hERG) K+ channel plays an important role in cardiac action potentials. The inhibition of the hERG channel may lead to…”
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Implications of Revenue Models and Technology for Content Moderation Strategies
Published in Marketing science (Providence, R.I.) (01-07-2022)“…This paper develops a theoretical model to study how the revenue model and technology of a social media platform affect its content-moderation strategy. This…”
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Store Within a Store
Published in Journal of marketing research (01-08-2010)“…In a store-within-a-store arrangement, retailers essentially rent out retail space to manufacturers and give them complete autonomy over retail decisions, such…”
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Fragment Quantum Mechanical Calculation of Proteins and Its Applications
Published in Accounts of chemical research (16-09-2014)“…Conspectus The desire to study molecular systems that are much larger than what the current state-of-the-art ab initio or density functional theory methods…”
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Accurate and Efficient Calculation of Protein–Protein Binding Free Energy-Interaction Entropy with Residue Type-Specific Dielectric Constants
Published in Journal of chemical information and modeling (28-01-2019)“…Accurate and efficient computation of protein–protein binding free energy remains a grand challenge. In this study, we develop a new strategy to achieve…”
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Anchor-Locker Binding Mechanism of the Coronavirus Spike Protein to Human ACE2: Insights from Computational Analysis
Published in Journal of chemical information and modeling (26-07-2021)“…COVID-19 has emerged as the most serious international pandemic in early 2020 and the lack of comprehensive knowledge in the recognition and transmission…”
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A Comparative Insight into Amprenavir Resistance of Mutations V32I, G48V, I50V, I54V, and I84V in HIV‑1 Protease Based on Thermodynamic Integration and MM-PBSA Methods
Published in Journal of chemical information and modeling (28-09-2015)“…Drug resistance of mutations V32I, G48V, I50V, I54V, and I84V in HIV-1 protease (PR) was found in clinical treatment of HIV patients with the drug amprenavir…”
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Computational Alanine Scanning with Interaction Entropy for Protein–Ligand Binding Free Energies
Published in Journal of chemical theory and computation (13-03-2018)“…In protein–ligand binding, only a few residues contribute significantly to the ligand binding. Quantitative characterization of binding free energies of…”
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Successive Open Innovation Contests and Incentives: Winner‐Take‐All or Multiple Prizes?
Published in The Journal of product innovation management (01-07-2018)“…Open innovation contests are a popular way to tap into the creativity of customers. Many firms host multiple, successive open innovation contests in response…”
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Molecular Dynamics Simulation of Zinc Ion in Water with an ab Initio Based Neural Network Potential
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (01-08-2019)“…An artificial neural network provides the possibility to develop molecular potentials with both the efficiency of the classical molecular mechanics and the…”
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Crypto-marketing: how non-fungible tokens (NFTs) challenge traditional marketing
Published in Marketing letters (01-12-2022)“…In this article, we argue that non-fungible tokens (NFTs) challenge established marketing understanding of digital ownership, uniqueness, and value;…”
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DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein-Ligand Interaction Prediction
Published in Molecules (Basel, Switzerland) (10-06-2023)“…The core of large-scale drug virtual screening is to select the binders accurately and efficiently with high affinity from large libraries of small molecules…”
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