| Enhanced molecular similarity protein-ligand aligner for improved deep learning-based bindi, has novel deep learning featurizer model for extracting molecular target features, where integration of convolutional neural network (CNN) is provided for feature extraction from neighboring residues | |
| 2025-03-26 | |
| 专利权人 | SRINIDHI K V (SRIN-Individual) ; RAMESH K V (RAME-Individual) ; GANESH D (GANE-Individual) |
| 申请日期 | 2025-03-26 |
| 专利号 | IN202541028352-A |
| 成果简介 | NOVELTY - The enhanced molecular similarity protein-ligand aligner has a novel deep learning featurizer model for extracting molecular target features. The integration of convolutional neural network (CNN) is provided for feature extraction from neighboring residues. Protein-ligand interactions are crucial in drug discovery and therapeutic development. Traditional futurization techniques for deep learning (DL) models rely on handcrafted features, which overlooks essential molecular aspects. USE - Enhanced molecular similarity protein-ligand aligner (EMSPLA) for improved deep learning-based bindi. ADVANTAGE - The method significantly improves predictive performance, reduces reliance on manual feature engineering, and enhances scalability. The EMSPLA model overcomes these limitations by integrating similarity-based alignment and advanced deep learning techniques. The EMSPLA enhances similarity matching in protein-ligand interactions and improving predictive accuracy. The method enables more efficient and scalable computational biology applications, and advancing protein-ligand interaction analysis. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic representation of enhanced molecular similarity protein-ligand aligner for improved deep learning-based bindi. |
| IPC 分类号 | G06N-003/04 ; G06N-003/044 ; G06N-003/045 ; G06N-003/08 ; G16B-005/00 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13496 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.SRINIDHI K V (SRIN-Individual) 2.RAMESH K V (RAME-Individual) 3.GANESH D (GANE-Individual) |
| 推荐引用方式 GB/T 7714 | SRINIDHI K V,RAMESH K V,GANESH D. Enhanced molecular similarity protein-ligand aligner for improved deep learning-based bindi, has novel deep learning featurizer model for extracting molecular target features, where integration of convolutional neural network (CNN) is provided for feature extraction from neighboring residues. IN202541028352-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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