
Cotton Biotechnology Lab
Lab Incharge: Dr. Muhammad Ahsan Khan
Contact Information: +92-322-6210462, ahsankhanpbg@uaf.edu.pk
For Detail CV click here:
In our Bioinformatics Lab, we have GPU-accelerated workstations to manage intensive computational tasks. Our lab focuses on employing computational tools and big data analysis to address complex health challenges, with a particular focus on cancer genomics and the exploration of noncoding regions of the genome to better understand their role in human diseases specially cancer progression.
One of our ongoing research projects involves the genome-wide mapping of noncoding regulatory mutations using whole genome sequencing data. We are analyzing genomic datasets from various sources to identify potential disease outbreaks and gain deeper insights into the molecular mechanisms. A key objective is to discover novel regulatory elements and noncanonical structures within the noncoding genome that influence cancer progression.
Additionally, we are investigating the structural dynamics of proteins, particularly those affected by noncoding mutations, which is essential for rational drug design. By applying molecular dynamics simulations and structure-based drug design approaches, we seek to identify new therapeutic targets and optimize drug interactions with proteins.
Our lab is deeply committed to interdisciplinary collaboration, integrated genome analysis, and data-driven strategies to address major health challenges. We collaborate with the One Health Lab and have co-authored research on coronavirus in 2025. Moreover, our bioinformatics team has established strong partnerships with leading researchers in South Korea, resulting in recent publications (2023 and 2025) on plant nanoviruses.
Selected Publications
TITLE :
(1). Insights into the differential composition of stem-loop structures of nanoviruses and their impacts.
(2). AC-motif: a DNA motif containing adenine and cytosine repeat plays a role in gene regulation.
In our Bioinformatics Lab, we have GPU-accelerated workstations to manage intensive computational tasks. Our lab focuses on employing computational tools and big data analysis to address complex health challenges, with a particular focus on cancer genomics and the exploration of noncoding regions of the genome to better understand their role in human diseases specially cancer progression. One of our ongoing research projects involves the genome-wide mapping of noncoding regulatory mutations using whole genome sequencing data. We are analyzing genomic datasets from various sources to identify potential disease outbreaks and gain deeper insights into the molecular mechanisms. A key objective is to discover novel regulatory elements and noncanonical structures within the noncoding genome that influence cancer progression. Additionally, we are investigating the structural dynamics of proteins, particularly those affected by noncoding mutations, which is essential for rational drug design. By applying molecular dynamics simulations and structure-based drug design approaches, we seek to identify new therapeutic targets and optimize drug interactions with proteins. Our lab is deeply committed to interdisciplinary collaboration, integrated genome analysis, and data-driven strategies to address major health challenges. We collaborate with the One Health Lab and have co-authored research on coronavirus in 2025. Moreover, our bioinformatics team has established strong partnerships with leading researchers in South Korea, resulting in recent publications (2023 and 2025) on plant nanoviruses.
Selected Publications
TITLE :(1). Insights into the differential composition of stem-loop structures of nanoviruses and their impacts.
(2). AC-motif: a DNA motif containing adenine and cytosine repeat plays a role in gene regulation.