Tariq AbdullahNational Islamic University · Department of Computer Science
Tariq Abdullah
Msc. Bioinformatics
About
6
Publications
2,702
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15
Citations
Introduction
I am a professional developer, at IQL Technologies Pvt. Ltd. (aka. Idea Quotient Labs). I have graduated with MSc. Bioinformatics and keenly interested in replicating biological methods and data for human welfare.
Education
July 2014 - July 2016
Publications
Publications (6)
sminalog_analysis.py script fetches all binding affinities of top poses of each ligand giving a serial number to each one of them from SMINA output log file. SMINA log file can be useful in the conditions where you need only binding affinities of the ligands regardless of their identities. One such example is the AUC-ROC analysis, calculation enric...
The recent outbreak of severe acute respiratory syndrome (SARS) coronavirus (CoV)-2 (SARS-CoV-2) causing coronavirus disease (covid19) has posed a great threat to human health. Previous outbreaks of SARS-CoV and Middle East respiratory Syndrome CoV (MERS-CoV) from the same CoV family had posed similar threat to human health and economic growth. To...
3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid (CMPF) is a major endogenous ligand found in the human serum albumin (HSA) of renal failure patients. It gets accumulated in the HSA and its concentration in sera of patients may reflect the chronicity of renal failure [1-4]. It is considered uremic toxin due to its damaging effect on the renal cell...
Background:
Single nucleotide substitutions (SNS) in genetic codon are of prime importance due to their ability to alter an amino acid sequence as a result. Given the nature of genetic code, any SNS is expected to change the protein sequence randomly into any of the 64 possible codons. In this paper, we present a theoretical analysis of how single...
Questions
Questions (4)
If an enzyme/protein is already bound to a ligand, what happens if we introduce another ligand that has higher affinity than one in complex? will it replace the bound ligand?
My team carried out a theoretical experiment which generated probability matrix with values such as 0/36 and 0/12 and so on. These probabilities are independent of each other and not from the same experiment. How can I account for this while creating a mathematical model?
Do I have to perform normalization of some sort?
What software should I use for this purpose?
FYI, My data consist of probability matrix of protein A, B, C, D, E Mutating into A, B, C, D
Thanks in advance for any help in this regard.
I want to look at complete genome of an organism (lets say Chlamydomonas reinhardii) and know which regions and what genes come after which ones (like a map) and what do they code for. Is there any authentic, scientific tool or a website that can let me do this? Thanks in advance :)
Non self antigens on HeLa cells will make it distinguishable by the immune system. But what is the exact mechanism behind killing of a foreign cell inside the body?
