日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Data-efficient learning for accurate identification of MAPK1 inhibitors using an active meta-deep learning framework

利用主动元深度学习框架进行数据高效学习,以准确识别 MAPK1 抑制剂

Zetta, Darlene Nabila; Srisongkram, Tarapong

Accurate structure-activity relationship prediction of antioxidant peptides using a multimodal deep learning framework

利用多模态深度学习框架准确预测抗氧化肽的构效关系

Duy, Huynh Anh; Srisongkram, Tarapong

Protecting your skin: a highly accurate LSTM network integrating conjoint features for predicting chemical-induced skin irritation

保护您的皮肤:一种高精度的LSTM网络,整合联合特征以预测化学物质引起的皮肤刺激

Duy, Huynh Anh; Srisongkram, Tarapong

Comparative Analysis of Recurrent Neural Networks with Conjoint Fingerprints for Skin Corrosion Prediction

基于循环神经网络和联合指纹图谱的皮肤腐蚀预测比较分析

Duy, Huynh Anh; Srisongkram, Tarapong

Bidirectional Long Short-Term Memory (BiLSTM) Neural Networks with Conjoint Fingerprints: Application in Predicting Skin-Sensitizing Agents in Natural Compounds

基于联合指纹的双向长短期记忆(BiLSTM)神经网络:在预测天然化合物中的皮肤致敏剂中的应用

Duy, Huynh Anh; Srisongkram, Tarapong

Toward Explainable Carcinogenicity Prediction: An Integrated Cheminformatics Approach and Consensus Framework for Possibly Carcinogenic Chemicals

迈向可解释的致癌性预测:一种综合化学信息学方法和潜在致癌化学物质共识框架

Duy, Huynh Anh; Srisongkram, Tarapong

Deep Generative Models for the Discovery of Antiviral Peptides Targeting Dengue Virus: A Systematic Review

利用深度生成模型发现靶向登革病毒的抗病毒肽:系统性综述

Duy, Huynh Anh; Srisongkram, Tarapong

Stacking Ensemble Neural Network for Chemical Safety Assessment: A Case Study of Thyroid Peroxidase and Natural Product Screening

基于堆叠集成神经网络的化学品安全评估:以甲状腺过氧化物酶和天然产物筛选为例

Zetta, Darlene Nabila; Srisongkram, Tarapong

Multimodal Deep Learning for Generating Potential Anti-Dengue Peptides

利用多模态深度学习生成潜在的抗登革热肽

Duy, Huynh Anh; Srisongkram, Tarapong

Active Stacking-Deep Learning with Strategic Sampling for Small and Imbalanced Chemical Toxicity Prediction

基于主动堆叠和策略性采样的深度学习方法用于小规模和不平衡化学品毒性预测

Zetta, Darlene Nabila; Shoombuatong, Watshara; Srisongkram, Tarapong