AIMC Topic: Malaria, Falciparum

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A systematic and prospectively validated approach for identifying synergistic drug combinations against malaria.

Malaria journal Apr 11, 2018
BACKGROUND: Nearly half of the world's population (3.2 billion people) were at risk of malaria in 2015, and resistance to current therapies is a major concern. While the standard of care includes drug combinations, there is a pressing need to identif...
Humans Machine Learning Drug Discovery Drug Synergism Protozoan Proteins Plasmodium falciparum Antimalarials Malaria, Falciparum Drug Combinations Drug Repositioning
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Machine learning prioritizes synthesis of primaquine ureidoamides with high antimalarial activity and attenuated cytotoxicity.

European journal of medicinal chemistry Jan 31, 2018
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...
Molecular Structure Antimalarials Malaria, Falciparum Structure-Activity Relationship Plasmodium falciparum Erythrocytes Primaquine Cell Proliferation Dose-Response Relationship, Drug Amides Drug Screening Assays, Antitumor Cell Line Antineoplastic Agents Rats Machine Learning Animals Humans
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Convolutional neural network-based malaria diagnosis from focus stack of blood smear images acquired using custom-built slide scanner.

Journal of biophotonics Nov 15, 2017
The present paper introduces a focus stacking-based approach for automated quantitative detection of Plasmodium falciparum malaria from blood smear. For the detection, a custom designed convolutional neural network (CNN) operating on focus stack of i...
Neural Networks, Computer Image Processing, Computer-Assisted Malaria, Falciparum Leukocytes Humans
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Cheminformatics Based Machine Learning Models for AMA1-RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte Invasion.

Molecular informatics Jul 17, 2015
Malaria remains a dreadful disease by putting every year about 3.4 billion people at risk and resulting into mortality of 627 thousand people worldwide. Existing therapies based upon Quinines and Artemisinin-based combination therapies have started s...
Models, Biological Membrane Proteins Malaria, Falciparum Protozoan Proteins Plasmodium falciparum Erythrocytes Humans Antigens, Protozoan Machine Learning
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Bayesian models trained with HTS data for predicting β-haematin inhibition and in vitro antimalarial activity.

Bioorganic & medicinal chemistry Dec 20, 2014
A large quantity of high throughput screening (HTS) data for antimalarial activity has become available in recent years. This includes both phenotypic and target-based activity. Realising the maximum value of these data remains a challenge. In this r...
Plasmodium falciparum Bayes Theorem Antimalarials Malaria, Falciparum Models, Biological Humans Machine Learning Drug Discovery Parasitic Sensitivity Tests Hemeproteins Small Molecule Libraries Databases, Pharmaceutical
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MALrisk: a machine-learning-based tool to predict imported malaria in returned travellers with fever.

Journal of travel medicine Dec 10, 2024
BACKGROUND: Early diagnosis is key to reducing the morbi-mortality associated with P. falciparum malaria among international travellers. However, access to microbiological tests can be challenging for some healthcare settings. Artificial Intelligence...
Male Middle Aged Malaria Machine Learning Female Prospective Studies Adult Humans Fever Travel Malaria, Falciparum Antimalarials Communicable Diseases, Imported
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Role of moving average analysis for development of multi-target (Q)SAR models.

Mini reviews in medicinal chemistry Jan 1, 2015
In modern drug discovery era, multi target- quantitative structure activity relationship [mt- (Q)SAR] approaches have emerged as novel and powerful alternatives in the field of in-silico drug design so as to facilitate the discovery of new chemical e...
Computer Simulation Trypanosomiasis, African Drug Design Trypanosoma brucei rhodesiense Plasmodium falciparum Humans Quantitative Structure-Activity Relationship Artificial Intelligence Antiprotozoal Agents Models, Biological Benzyl Compounds Malaria, Falciparum
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