Artificial intelligence in nanotechnology for treatment of diseases

S Heydari, N Masoumi, E Esmaeeli… - Journal of Drug …, 2024 - Taylor & Francis
Nano-based drug delivery systems (DDSs) have demonstrated the ability to address
challenges posed by therapeutic agents, enhancing drug efficiency and reducing side …

An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives

S Ahmad, K Raza - Journal of drug targeting, 2024 - Taylor & Francis
There are over 100 types of human cancer, accounting for millions of deaths every year.
Lung cancer alone claims over 1.8 million lives per year and is expected to surpass 3.2 …

Identification of 5-nitroindazole as a multitargeted inhibitor for CDK and transferase kinase in lung cancer: a multisampling algorithm-based structural study

S Ahmad, K Raza - Molecular Diversity, 2024 - Springer
Lung cancer is the second most common cancer, which is the leading cause of cancer death
worldwide. The FDA has approved almost 100 drugs against lung cancer, but it is still not …

In-silico analysis reveals Quinic acid as a multitargeted inhibitor against cervical cancer

S Ahmad, S Sayeed, N Bano, K Sheikh… - Journal of Biomolecular …, 2023 - Taylor & Francis
The cervix is the lowermost part of the uterus that connects to the vagina, and cervical
cancer is a malignant cervix tumour. One of this cancer's most important risk factors is HPV …

Multitargeted Molecular Dynamic Understanding of Butoxypheser Against SARS-CoV-2: An in Silico Study

S Ahmad, N Bano, S Qazi, MK Yadav… - Natural Product …, 2022 - journals.sagepub.com
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was initially reported in the
Wuhan province of China, spread throughout the world, and caused massive destruction in …

Reporting dinaciclib and theodrenaline as a multitargeted inhibitor against SARS-CoV-2: an in-silico study

S Ahmad, M Pasha KM, K Raza… - Journal of …, 2023 - Taylor & Francis
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is one of the rapid
spreading coronaviruses that belongs to the Coronaviridae family. The rapidly evolving …

Harnessing machine learning potential for personalised drug design and overcoming drug resistance

MA Hakami - Journal of Drug Targeting, 2024 - Taylor & Francis
Drug resistance in cancer treatment presents a significant challenge, necessitating
innovative approaches to improve therapeutic efficacy. Integrating machine learning (ML) in …

Targeting the receptor binding domain and heparan sulfate binding for antiviral drug development against SARS-CoV-2 variants

ZS Yang, TS Li, YS Huang, CC Chang, CM Chien - Scientific Reports, 2024 - nature.com
The emergence of SARS-CoV-2 variants diminished the efficacy of current antiviral drugs
and vaccines. Hence, identifying highly conserved sequences and potentially druggable …

An in vivo and in silico evaluation of the hepatoprotective potential of Gynura procumbens: A promising agent for combating hepatotoxicity

TI Tithi, MR Tahsin, J Anjum, TS Zaman, F Aktar… - Plos one, 2023 - journals.plos.org
Introduction The liver, the most important metabolic organ of the body, performs a wide
variety of vital functions. Hepatic cell injury occurs by the activation of reactive oxygen …

Unveiling the multitargeted potency of Sodium Danshensu against cervical cancer: a multitargeted docking-based, structural fingerprinting and molecular dynamics …

S Alghamdi, HM Baeissa, M Azhar Kamal… - Journal of …, 2024 - Taylor & Francis
Cervical Cancer (CC) is one of the most common types of cancer in women worldwide, with
a significant number of deaths reported yearly. Despite the various treatment options …