We present FMT Hub - Phase II, We are developing the official website for the Microbiome Informatics Lab at IIIT Delhi as a digital extension of the FMT Hub. The platform is being built uscentralized 15, React 19, Node.js, ...
The way kinases interact with their substrates has been a longstanding problem in biology prediction and important to drug developing. This report is about a new computational system like Multimodal Siamese Graph Network ...
Peptides, as essential biological molecules, exhibit diverse structural and functional properties, some of which can trigger allergenic responses and pose significant challenges in biotherapeutic applications and drug ...
This project focuses on fine-tuning four lightweight language models—Phi-1, Phi-1.5, Phi-2, and TinyL- lama—for novel recipe generation using a recipe dataset sourced from MongoDB. The process involved data preprocessing, ...
In the EONs, that is, Elastic Optical Networks, a sophisticated management and planning approach is employed to address the physical impairments and resource limitations inherent in high-capacity data transmission over ...
This project focuses on designing a haptic device integrated into a Virtual reality
(VR) environment to enhance surgical training. Combining force feedback, sensor
integration, and 3D modeling, the device offers a realistic ...
Predicting lipid-binding proteins is essential for understanding their roles in cellular functions and disease mechanisms. This research aims to develop a machine learning (ML) model to accurately identify lipid-binding ...
Allosteric site prediction has emerged as a pivotal approach in drug discovery, offering enhanced selectivity and reduced side effects compared to traditional orthosteric targeting. This report explores multiple computational ...
The rapid advancement of biomedical research has led to an overwhelming influx of scholarly articles, making efficient retrieval and comprehension of domain-specific knowledge a significant challenge. This project presents ...
Understanding how molecular modifications influence biological activity is a cornerstone of drug discovery and development. This project leverages Positional Analog Scanning, a powerful technique in medicinal chemistry, ...
Lipid metabolism is a critical component of brain physiology, encompassing the synthesis, degradation, and regulation of lipids necessary for cellular homeostasis and signaling. Dysregulation in lipid metabolism pathways ...
Healthcare Community Question Answering (CQA) platforms provide valuable information on medical topics but are often rife with misinformation, posing significant risks to users’ health. Inspired by the need for factual ...
In multi-robot systems, maintaining belief consistency is essential for optimal performance during joint tasks. However, due to limited communication, robots may develop inconsistent beliefs over time, leading to suboptimal ...
Menkes disease is a rare, X-linked recessive disorder caused by mutations in the ATP7A(ATPase Copper Transporting Alpha) gene, which encodes a copper-transporting ATPase essential for maintaining copper homeostasis. Copper ...
This study presents a novel approach leveraging machine learning techniques to analyze epigenomic and transcription factor binding patterns for the identification of key genes, including non-coding genes, associated with ...
Chemsules introduces a revolutionary approach to carcinogenicity assessment, anchored by the precision-driven Metabokiller machine learning model. Catering to a diverse user base, including researchers, scientists, industry ...
Detection of DNA base modifications Epigenetic modifications of DNA bases play an important role so, it’s important to detect the modifications in DNA. Hence, our goal is to detect and discover modifications in DNA and ...