Repurposing old drugs to fight multidrug resistant cancers
Overcoming multidrug resistance represents a major challenge for cancer treatment. In the
search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a …
search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a …
Machine learning, artificial intelligence, and data science breaking into drug design and neglected diseases
J Peña‐Guerrero, PA Nguewa… - Wiley Interdisciplinary …, 2021 - Wiley Online Library
Abstract Machine learning (ML) is becoming capable of transforming biomolecular
interaction description and calculation, promising an impact on molecular and drug design …
interaction description and calculation, promising an impact on molecular and drug design …
Mining and investigating the factors influencing crowdfunding success
Crowdfunding is an innovative and relatively new financial method that connects
entrepreneurs and investors through the Internet. It allows entrepreneurs to raise often small …
entrepreneurs and investors through the Internet. It allows entrepreneurs to raise often small …
Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs
V Periwal, S Bassler, S Andrejev… - PLoS computational …, 2022 - journals.plos.org
Natural compounds constitute a rich resource of potential small molecule therapeutics.
While experimental access to this resource is limited due to its vast diversity and difficulties …
While experimental access to this resource is limited due to its vast diversity and difficulties …
SANCDB: an update on South African natural compounds and their readily available analogs
Abstract Background South African Natural Compounds Database (SANCDB; https://sancdb.
rubi. ru. ac. za/) is the sole and a fully referenced database of natural chemical compounds …
rubi. ru. ac. za/) is the sole and a fully referenced database of natural chemical compounds …
[PDF][PDF] Improving SVM classification performance on unbalanced student graduation time data using SMOTE
Abstract—Student graduation accuracy is one of the indicators of the success of higher
education institutions in carrying out the teaching and learning process and as a component …
education institutions in carrying out the teaching and learning process and as a component …
Machine learning-enabled repurposing and design of antifouling polymer brushes
Rational development of antifouling materials is of great importance for fundamental
research and real-world applications. However, current experimental designs and …
research and real-world applications. However, current experimental designs and …
Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal …
Y Wang, Z Shen, Y Jiang - BMJ open, 2019 - bmjopen.bmj.com
Objectives Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public
health in China, accounting for almost 90% cases reported globally. Infectious disease …
health in China, accounting for almost 90% cases reported globally. Infectious disease …
3D cell cultures toward quantitative high-throughput drug screening
3D cell cultures are being utilized for drug discovery and development. However, there are
still challenges to implementing them generally in quantitative high-throughput screening …
still challenges to implementing them generally in quantitative high-throughput screening …
Machine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds
K Diéguez-Santana, GM Casanola-Martin… - Molecular …, 2022 - ACS Publications
Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial
death. However, antibiotic resistance and the emergence of multidrug-resistant bacteria …
death. However, antibiotic resistance and the emergence of multidrug-resistant bacteria …