AI Medical Compendium Journal:
European journal of medicinal chemistry

Showing 11 to 20 of 29 articles

Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design.

European journal of medicinal chemistry
Peptides can bind challenging disease targets with high affinity and specificity, offering enormous opportunities for addressing unmet medical needs. However, peptides' unique features, including smaller size, increased structural flexibility, and li...

Structure-based identification of new orally bioavailable BRD9-PROTACs for treating acute myelocytic leukemia.

European journal of medicinal chemistry
BRD9 is essential in regulating gene transcription and chromatin remodeling, and blocking BRD9 profoundly affects the survival of AML cells. However, the inhibitors of BRD9 suffer from various drawbacks, including poor phenotype and selectivity, and ...

DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discovery.

European journal of medicinal chemistry
Discovering new anticancer drugs has been widely concerned and remains an open challenge. Target- and phenotypic-based experimental screening represent two mainstream anticancer drug discovery methods, which suffer from time-consuming, labor-intensiv...

Bifunctional robots inducing targeted protein degradation.

European journal of medicinal chemistry
The gaining importance of Targeted Protein Degradation (TPD) and PROTACs (PROteolysis-TArgeting Chimeras) have drawn the scientific community's attention. PROTACs are considered bifunctional robots owing to their avidity for the protein of interest (...

Development, validation, and evaluation of a deep learning model to screen cyclin-dependent kinase 12 inhibitors in cancers.

European journal of medicinal chemistry
Deep learning-based in silico alternatives have been demonstrated to be of significant importance in the acceleration of the drug discovery process and enhancement of success rates. Cyclin-dependent kinase 12 (CDK12) is a transcription-related cyclin...

Discovery of novel SARS-CoV-2 3CL protease covalent inhibitors using deep learning-based screen.

European journal of medicinal chemistry
SARS-CoV-2 3CL protease is one of the key targets for drug development against COVID-19. Most known SARS-CoV-2 3CL protease inhibitors act by covalently binding to the active site cysteine. Yet, computational screens against this enzyme were mainly f...

AI-based prediction of new binding site and virtual screening for the discovery of novel P2X3 receptor antagonists.

European journal of medicinal chemistry
Artificial intelligence (AI) has been recognized as a powerful technique that can accelerate drug discovery during the hit compound identification step. However, most simple deep learning models have been used for naive pre-filtering as the predictio...

Automated design and optimization of multitarget schizophrenia drug candidates by deep learning.

European journal of medicinal chemistry
Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G protein-coupled receptors (GPCRs) to modulate complex neuropsychiatric functions. Here, we report an automated system comprising a deep recurrent neural ...

Efficient identification of novel anti-glioma lead compounds by machine learning models.

European journal of medicinal chemistry
Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system tumor. Pharmacological treatment of this malignance is limited by the selective permeability of the blood-brain barrier (BBB) and relies on a single d...

Machine learning prioritizes synthesis of primaquine ureidoamides with high antimalarial activity and attenuated cytotoxicity.

European journal of medicinal chemistry
Primaquine (PQ) is a commonly used drug that can prevent the transmission of Plasmodium falciparum malaria, however toxicity limits its use. We prepared five groups of PQ derivatives: amides 1a-k, ureas 2a-k, semicarbazides 3a,b, acylsemicarbazides 4...