Khalid Raza

Integrative 3D-QSAR and In Vitro Studies on Medicinal Plants Identify Bergenia ligulata

Ankita Sahu, Sahar Qazi, Ajeeshkumar Kizhakkeppurath Kumaran, M. Moshahid A. Rizvi et autres

in (code pays fourni par la source)

AI-driven transformer-guided fragment-based discovery of Prostaglandin A1 as a multi-target inhibitor of PSAT1, PARP1, and PIK3CA in ovarian cancer

Yaping Sun, Shalesh Gangwar, Jinfeng Qu, Khalid Raza

cn, in (code pays fourni par la source)

Natural Products as Therapeutics for Lung and Respiratory Diseases

Khalid Raza, Shaban Ahmad

Respiratory health globally faces multifaceted challenges, ranging from the immediate threat of viral pandemics and acute injuries to the long-term burden of pollution-related chronic diseases.This is particularly evident in underprivileged regions, including the Indian subcontinent, where environmental constraints and winter pollution levels …

in, dk (code pays fourni par la source)

AI for monitoring clinical outcomes and adverse events

Saira Hamid, Raiyan Ali, Kushagra Khanna, Khalid Raza

in, my (code pays fourni par la source)

Artificial intelligence in molecular screening: Advances, challenges, and future perspectives

Junjie Kuang, Shalesh Gangwar, Shaban Ahmad, Khalid Raza

cn, in (code pays fourni par la source)

List of contributors

Jatin Agarwal, Pankaj Agrawal, Raja Sekhar Reddy Alavala, Ramesh Alluri et autres

AI-Driven Signal Processing for Single-Cell Data Analysis: A Case Study in Cancer Research

Shalesh Gangwar, Mehrukh Banday, Zubina Anjum, Kushagra Khanna et autres

in, my, sa (code pays fourni par la source)

Lightweight Deep Learning Model for UAV-Based Disaster Detection

Rumman Ahmad, Md Hammad Akram, Musheer Ahmad, Khalid Raza

in (code pays fourni par la source)

DrLungker: A Deep Ensemble Learning Framework for Predicting Anti‐Lung Cancer Compound Activity and Validating Multitarget Potency through WaterMap, DFT, MD Simulations, and MM‐GBSA Analysis

Shaban Ahmad, Khalid Raza

ABSTRACT Lung cancer, with more than 50 approved drugs, is still the deadliest cancer, with 1.80 million annual deaths, necessitating rapid drug development, which can be accelerated by AI‐driven prediction of potent candidates. In this study, we downloaded the lung cancer BioAssay …

dk, in (code pays fourni par la source)

Dual Drug Nanoformulations for Non-Small Cell Lung Cancer Therapeutics: A Systematic Review

Faheem Ahmad, Tanuja Tanuja, Khalid Raza

Background Lung cancer is the most common cause of cancer mortality around the world, and non-small cell lung cancer (NSCLC) represents 80% of the lung cancer subtypes. Various factors, including gene alterations and changes in an individual's lifestyle, are potential causes of …

in (code pays fourni par la source)

Unravelling mutation patterns in Extended-Spectrum β-Lactamases for precision drug design against AMR in Enterobacteriaceae

Nagmi Bano, Khalid Raza

in (code pays fourni par la source)

Nanoinformatics: Emerging technology for prediction and controlling of biological performance of nanomedicines

Anjana Sharma, Zubina Anjum, Khalid Raza, Nitin Sharma et autres

in (code pays fourni par la source)