AIMC Topic: Software

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Semantic code clone detection using hybrid intermediate representations and BiLSTM networks.

PloS one
Semantic code clone detection plays an essential role in software maintenance and quality assurance, as it helps uncover fragments of code that express the same logic even when their syntax has been altered or deliberately obfuscated. In this study, ...

Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins.

NAR genomics and bioinformatics
We have evaluated the prediction accuracy of three different tools, deep-learning-based AlphaFold2, AlphaFold3, and large language model-based ESMFold, utilizing the experimentally derived structures deposited in the Protein Data Bank between 2022 an...

FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.

NAR genomics and bioinformatics
Noncoding RNAs have increasingly recognized roles in critical molecular mechanisms of disease. However, the noncoding genome of Drosophila melanogaster, one of the most powerful disease model organisms, has been understudied. Here, we present FLYNC-F...

SyMetrics: an integrated machine learning model for evaluating the pathogenicity of synonymous variants in the human genome.

NAR genomics and bioinformatics
Synonymous single nucleotide variants (sSNVs), traditionally seen as neutral, are now recognized for their biological impact. To assess their relevance, we developed SyMetrics, a framework that integrates predictors of splicing, RNA stability, evolut...

GATE 10 Monte Carlo particle transport simulation: II. Architecture and innovations.

Physics in medicine and biology
Over the past years, we have developed GATE version 10, a major re-implementation of the long-standing Geant4-based Monte Carlo application for particle and radiation transport simulation in medical physics. This release introduces many new features ...

EVALUATING VECTECH IDX™: AI-DRIVEN IDENTIFICATION FOR ENHANCED VECTOR MANAGEMENT.

Journal of the American Mosquito Control Association
Assessing and advancing cutting-edge technologies that are designed to optimize mosquito surveillance strategies is crucial given the complex challenges presented by our rapidly changing environments. Vectech's Identification-X (IDX) machine offers a...

A Framework for a Standard-Enabled FAIR Data Management Workflow for Synthetic Biology.

ACS synthetic biology
Synthetic biology laboratories generate diverse forms of data and metadata throughout a project's life cycle, such as sequences, models, protocols, images, and time-series measurements. Unfortunately, these assets are scattered across spreadsheets, p...

Bridging Model and Experiment in Systems Neuroscience with Cleo: The Closed-Loop, Electrophysiology, and Optophysiology Simulation Testbed.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Systems neuroscience has experienced an explosion of new tools for reading and writing neural activity, enabling exciting new experiments (e.g., all-optical interrogation, closed-loop control) for interrogating neural circuits. Unfortunately, these a...

Utilizing AI CAD for early pandemic screening in chest radiographs.

Scientific reports
To investigate the potential application of existing artificial intelligence (AI) software in diagnosing COVID-19 (coronavirus disease 2019) and other pneumonia-related radiographic findings with the unprecedented challenge by COVID-19 pandemic, leve...

Chemprop v2: An Efficient, Modular Machine Learning Package for Chemical Property Prediction.

Journal of chemical information and modeling
Accurate prediction of molecular properties is essential for computational design in many areas of chemistry. Deep learning has been used in these prediction tasks for a wide variety of molecular properties, and the availability of user-friendly open...