Aller au contenu principal
Profil bibliographique

Daigo Inoyama

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

28Publications signalées
1237Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Computational Drug Discovery MethodsTuberculosis Research and EpidemiologyGenomics, phytochemicals, and oxidative stressClick Chemistry and ApplicationsCancer therapeutics and mechanisms

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Accelerating Lead Optimization away from Anti-Targets: Navigating the Structural Complexity of Promiscuous ADMET Proteins

Howook Hwang, Mee Y. Shelley, Andrew Placzek, Kevin R. DeMarco et autres

The development of a small-molecule suitable for clinical use involves optimization of ligand binding to an identified target protein but also frequently the reduction of binding to a variety of anti-target proteins known to pose translational risk. These anti-targets, often referred to …

us, gb (code pays fourni par la source)

0 citations ChemRxiv
Accès ouvert 2026 preprint OpenAlex

Structurally Enabling ADMET Anti-Targets via Induced Fit Docking and Free Energy Perturbation

Howook Hwang, Mee Y. Shelley, Andrew Placzek, Kevin R. DeMarco et autres

The development of a small-molecule suitable for clinical use involves optimization of ligand binding to an identified target protein but also frequently the reduction of binding to a variety of anti-target proteins known to pose translational risk. These anti-targets, often referred to …

us, gb (code pays fourni par la source)

0 citations ChemRxiv
Accès ouvert 2026 preprint OpenAlex

Structurally Enabling ADMET Anti-Targets via Induced Fit Docking and Free Energy Perturbation

Howook Hwang, Mee Y. Shelley, Andrew Placzek, Kevin R. DeMarco et autres

The development of a small-molecule suitable for clinical use involves optimization of ligand binding to an identified target protein but also frequently the reduction of binding to a variety of anti-target proteins known to pose translational risk. These anti-targets, often referred to …

us, gb (code pays fourni par la source)

0 citations ChemRxiv
2024 article OpenAlex

AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors

Pieter H. Bos, Fabio Ranalli, E. A. Flood, Shawn Watts et autres

The hit identification stage of a drug discovery program generally involves the design of novel chemical scaffolds with desired biological activity against the target(s) of interest. One common approach is scaffold hopping, which is the manual design of novel scaffolds based on …

us (code pays fourni par la source)

2 citations Journal of Chemical Information and Modeling
Accès ouvert 2024 preprint OpenAlex

AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors

Pieter H. Bos, Fabio Ranalli, E. A. Flood, Shawn Watts et autres

The hit identification stage of a drug discovery program generally involves the design of novel chemical scaffolds with desired biological activity against the target(s) of interest. One common approach is scaffold hopping, which is the manual design of novel scaffolds based on …

us (code pays fourni par la source)

4 citations ChemRxiv
Accès ouvert 2024 preprint OpenAlex

AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors

Pieter H. Bos, Fabio Ranalli, E. A. Flood, Shawn Watts et autres

The hit identification stage of a drug discovery program generally involves the design of novel chemical scaffolds with desired biological activity against the target(s) of interest. One common approach is scaffold hopping, which is the manual design of novel scaffolds based on …

us (code pays fourni par la source)

2 citations ChemRxiv
Accès ouvert 2020 article OpenAlex

Pruned Machine Learning Models to Predict Aqueous Solubility

Alexander L. Perryman, Daigo Inoyama, Jimmy S. Patel, Sean Ekins et autres

Solubility is a key metric for therapeutic compounds. Conversely, insoluble compounds cloud the accuracy of assays at all stages of chemical biology and drug discovery. Herein, we disclose naïve Bayesian classifier models to predict aqueous solubility. Publicly accessible aqueous solubility data were …

us, no (code pays fourni par la source)

23 citations ACS Omega
Accès ouvert 2019 article OpenAlex

Structural basis of DSF recognition by its receptor RpfR and its regulatory interaction with the DSF synthase RpfF

Evan J. Waldron, Daniel J. Snyder, Nicolas L. Fernandez, Emily Sileo et autres

The diffusible signal factors (DSFs) are a family of quorum-sensing autoinducers (AIs) produced and detected by numerous gram-negative bacteria. The DSF family AIs are fatty acids, differing in their acyl chain length, branching, and substitution but having in common a cis-2 double …

us (code pays fourni par la source)

37 citations PLoS Biology
Accès ouvert 2018 article OpenAlex

Synergistic Lethality of a Binary Inhibitor of Mycobacterium tuberculosis KasA

Pradeep Kumar, Glenn C. Capodagli, Divya Awasthi, Riju Shrestha et autres

Cell wall biosynthesis inhibitors have proven highly effective for treating tuberculosis (TB). We discovered and validated members of the indazole sulfonamide class of small molecules as inhibitors of Mycobacterium tuberculosis KasA—a key component for biosynthesis of the mycolic acid layer of the …

us (code pays fourni par la source)

52 citations mBio

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.