Valeria V Kleandrova

15PUBLICATIONS
6CO-AUTHORS
Medical parasitologyMolecular targetsComputational ecology and phylogeneticsDeep learningBiomolecular modelling and design
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Publications (15)

|Jul 30, 2025
In Silico Approach for Early Antimalarial Drug Discovery: De Novo Design of Virtual Multi-Strain Antiplasmodial Inhibitors.

Valeria V Kleandrova, M Natália D S Cordeiro, Alejandro Speck-Planche

|Jul 23, 2025
Perturbation-Theory Machine Learning for Multi-Target Drug Discovery in Modern Anticancer Research.

Valeria V Kleandrova, M Natália D S Cordeiro, Alejandro Speck-Planche

|Feb 26, 2025
In Silico Approach for Antibacterial Discovery: PTML Modeling of Virtual Multi-Strain Inhibitors Against Staphylococcus aureus.

Valeria V Kleandrova, M Natália D S Cordeiro, Alejandro Speck-Planche

|Jan 03, 2025
Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins.

Valeria V Kleandrova, M Natália D S Cordeiro, Alejandro Speck-Planche

|Aug 22, 2024
Ligand-Based Approach for Multi-Target Drug Discovery: PTML Modeling of Triple-Target Inhibitors.

Valeria V Kleandrova, M Natalia D S Cordeiro, Alejandro Speck-Planche

|Sep 20, 2023
Current in silico methods for multi-target drug discovery in early anticancer research: the rise of the perturbation-theory machine learning approach.

Valeria V Kleandrova, Maria Natália Ds Cordeiro, Alejandro Speck-Planche

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