Chemical Biology and Drug Design
JANUARY 5, 2025
These results were confirmed by molecular modeling and bioinformatics tools. Thus, our findings can provide novel and versatile compounds for the development of multidirectional drugs in the pharmaceutical industry.
Chemical Biology and Drug Design
APRIL 20, 2023
Then, using PyRx software, we performed docking proteins with selected drugs. The results demonstrated that these drugs are appropriate molecules for targeting cell cycle DEGs. Tarbase, miRTarbase, miRDIP, and miRCancer databases were used to find miRNAs that target the indicated genes.
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Nvidia Developer: Drug Discovery
FEBRUARY 28, 2024
Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. In recent years, deep.
The Open Targets Blog
JANUARY 30, 2025
“Sam has an exceptional talent in software engineering, and his contributions reflect a deep understanding of both the technical and biological aspects required for bioinformatics tool development,” says Laura Luebbert, now a postdoctoral fellow in the Sabeti lab at the Broad Institute of MIT and Harvard and Harvard University.
Drug Target Review
JUNE 11, 2025
Drug development is plagued by complex challenges, but multimodal AI is unlocking new opportunities. By integrating diverse data sources – from genomics to clinical insights – this approach is accelerating drug discovery, improving patient stratification and boosting success rates.
Practical Cheminformatics
JANUARY 16, 2024
Property Prediction Machine Learning Methods for Small Data Challenges in Molecular Science [link] Practical guidelines for the use of gradient boosting for molecular property prediction [link] Application of message passing neural networks for molecular property prediction [link] Molecular Similarity Molecular Similarity: Theory, Applications, and (..)
Drug Target Review
JUNE 14, 2025
I began in bioinformatics, conducting lab-based genomics work but soon felt the need to dive deeper into the computational side. His work has contributed to innovations in computational drug discovery, antibody developability prediction and laboratory automation. I’ve been in the scientific informatics space for over 15 years.
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