A quick guide to producing a virtual chemistry course for online education

Novel inhibitors of PARP1 and PARP14: design, synthesis, and potentiation of cisplatin efficacy in cancer.

Future medicinal chemistry·2024

The potential association between PARP14 and SARS-CoV-2 infection (COVID-19).

Future medicinal chemistry·2021

In silico family-wide profiling and 3D modelling of the poly(ADP-ribose) polymerase superfamily.

Future medicinal chemistry·2020

Design, synthesis and evaluation of potential inhibitors for poly(ADP-ribose) polymerase members 1 and 14.

Future medicinal chemistry·2020

In silico identification and in vitro activity of natural products as ADP-ribosyl transferase member 8 inhibitors.

Future medicinal chemistry·2020

Recent developments in PARP14 research.

Future medicinal chemistry·2020

Synthesis of polyhydroquinoline derivatives as potent antidiabetic and antioxidant agents: in vitro biological activities and computational studies.

Future medicinal chemistry·2026

Advancing cancer drug discovery through the integration of machine learning and high-throughput screening.

Future medicinal chemistry·2026

Beyond the ATP-binding pocket: emerging strategies in kinase targeting from allosteric inhibition to targeted protein degradation.

Future medicinal chemistry·2026

Harnessing the quinoline core for targeted cancer therapy.

Future medicinal chemistry·2026

Novel thioether and thioester-based derivatives as promising antibacterial agents with antioxidant potential: design, synthesis, and in silico studies.

Future medicinal chemistry·2026

Rational drug design for Alzheimer's disease: from approved therapies to next-generation clinical candidates and AI-guided innovation.

Future medicinal chemistry·2026

Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models.

Learning health systems·2026

Machine learning augmented branch and bound for mixed integer linear programming.

Mathematical programming·2026

Accurate and efficient protocols for high-throughput first-principles materials simulations.

npj computational materials·2026

Safety and reliability of reused expensive disposables in shoulder arthroscopy procedures.

Canadian journal of surgery. Journal canadien de chirurgie·2026

MLHeatmap: an interactive application for transcriptomic marker-panel discovery.

Bioinformatics advances·2026

A comparative analysis of pretrained Wav2Vec XLSR-53 and Whisper-Small models for automatic speech recognition in the Telugu language.

Frontiers in artificial intelligence·2026

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A quick guide to producing a virtual chemistry course for online education

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Novel inhibitors of PARP1 and PARP14: design, synthesis, and potentiation of cisplatin efficacy in cancer.

The potential association between PARP14 and SARS-CoV-2 infection (COVID-19).

In silico family-wide profiling and 3D modelling of the poly(ADP-ribose) polymerase superfamily.

Design, synthesis and evaluation of potential inhibitors for poly(ADP-ribose) polymerase members 1 and 14.

In silico identification and in vitro activity of natural products as ADP-ribosyl transferase member 8 inhibitors.

Recent developments in PARP14 research.

Synthesis of polyhydroquinoline derivatives as potent antidiabetic and antioxidant agents: in vitro biological activities and computational studies.

Advancing cancer drug discovery through the integration of machine learning and high-throughput screening.

Beyond the ATP-binding pocket: emerging strategies in kinase targeting from allosteric inhibition to targeted protein degradation.

Harnessing the quinoline core for targeted cancer therapy.

Novel thioether and thioester-based derivatives as promising antibacterial agents with antioxidant potential: design, synthesis, and in silico studies.

Rational drug design for Alzheimer's disease: from approved therapies to next-generation clinical candidates and AI-guided innovation.

Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models.

Machine learning augmented branch and bound for mixed integer linear programming.

Accurate and efficient protocols for high-throughput first-principles materials simulations.

Safety and reliability of reused expensive disposables in shoulder arthroscopy procedures.

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