AIMC Topic: Web Browser
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SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery.
Journal of chemical information and modeling
Jan 30, 2024
SerotoninAI is an innovative web application for scientific purposes focused on the serotonergic system. By leveraging SerotoninAI, researchers can assess the affinity (pKi value) of a molecule to all main serotonin receptors and serotonin transporte...
sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction.
RNA biology
Dec 31, 2021
Bacterial small regulatory RNAs (sRNAs) are key regulators of gene expression in many processes related to adaptive responses. A multitude of sRNAs have been identified in many bacterial species; however, their function has yet to be elucidated. A ke...
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
Genome medicine
Aug 30, 2021
BACKGROUND: Multidrug-resistant Mycobacterium tuberculosis (Mtb) is a significant global public health threat. Genotypic resistance prediction from Mtb DNA sequences offers an alternative to laboratory-based drug-susceptibility testing. User-friendly...
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
Genome medicine
Jul 14, 2021
Multi-omics data are good resources for prognosis and survival prediction; however, these are difficult to integrate computationally. We introduce DeepProg, a novel ensemble framework of deep-learning and machine-learning approaches that robustly pre...
Evaluating machine learning methodologies for identification of cancer driver genes.
Scientific reports
Jun 10, 2021
Cancer is driven by distinctive sorts of changes and basic variations in genes. Recognizing cancer driver genes is basic for accurate oncological analysis. Numerous methodologies to distinguish and identify drivers presently exist, but efficient tool...
DeepFrag: An Open-Source Browser App for Deep-Learning Lead Optimization.
Journal of chemical information and modeling
May 24, 2021
Lead optimization, a critical step in early stage drug discovery, involves making chemical modifications to a small-molecule ligand to improve properties such as binding affinity. We recently developed DeepFrag, a deep-learning model capable of recom...
4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network.
Genes
Feb 20, 2021
Among DNA modifications, N4-methylcytosine (4mC) is one of the most significant ones, and it is linked to the development of cell proliferation and gene expression. To know different its biological functions, the accurate detection of 4mC sites is re...
Term Matrix: a novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns.
Open biology
Sep 2, 2020
Biological processes are accomplished by the coordinated action of gene products. Gene products often participate in multiple processes, and can therefore be annotated to multiple Gene Ontology (GO) terms. Nevertheless, processes that are functionall...
ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network.
EBioMedicine
Nov 22, 2019
BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key "hallmarks of cancer". Ho...
TAP: A static analysis model for PHP vulnerabilities based on token and deep learning technology.
PloS one
Nov 18, 2019
With the widespread usage of Web applications, the security issues of source code are increasing. The exposed vulnerabilities seriously endanger the interests of service providers and customers. There are some models for solving this problem. However...
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