Good day, Praveen J. I'm Arjun. I've had a look through your background and your professional record. I'm interested in hearing more about your work and how you see yourself fitting in here with our faculty. Ready to start?

Professor Praveen, I'd like to assess your expertise in bioinformatics with a specialization in medical microbiology. Could you outline your specific contributions or research work in this area, especially any projects that intersect molecular biology and computational tools?

Hello, are you there?

Hello, am I audible to you?

Yes, I can hear you now. Let me repeat the question for clarity—Professor Praveen, could you outline your specific contributions or research work in bioinformatics with a specialization in medical microbiology, especially any projects that intersect molecular biology and computational tools?

Hi.

Hello, Professor Praveen. I’d like to reiterate—the focus is on your specific work within bioinformatics, particularly where it intersects with medical microbiology and the use of computational tools. Could you share insights into this area, please?

Yeah, biochematics analyze the take place in major role in medicinal informatics, particularly my work also involved in medicinal informatics because based on the critical transaction which is the traditional medicine utilized for utilized against cardiovascular disease there I.

Analyze and retry retrieve.

Major phytocompounds present in the tertiary Saxigenta, which was utilized against a protein involved in the atherosclerosis and post-myocardial infection.

So I utilized computational techniques like molecular docking, molecular dynamic simulations.

Starting up.

Various tours etcetera for analyzing the protein and interactions. Protein, protein interactions, protein DNA interactions.

That uh, I identify that the epicating gallid is a potential drug which is medicinally valuable. So there the computational approaches were utilized for uh.

Which is a one part. Now another part is to develop a precision medical.

Identifying novel drug.

Precise precision medicine is a is a is a designing for drug for a particular segment of people which which people which which is very high highly potent therapeutic approaches.

Thank you, Professor Praveen. You highlighted your computational approach using techniques like molecular docking and dynamic simulations, specifically in drug discovery for cardiovascular diseases and precision medicine. Could you elaborate on how you ensured the validity and robustness of these computational models during your research?

Actually, the computational techniques like, uh, molecular dynamics simulations that mimic the pathophysiology and the physiological conditions of the.

Cardiovascular disease environment or any other environment.

So if we place the protein or ligand in the ortho thorombic bond, which is the.

Particular segment that mimic the environment of the pathophysiological conditions.

So if we if we if we place the complex into the particular area.

Began uh, easily identified structure based drug design so.

That.

We can identify how the drug interact with the particular protein.

OK, there, there is a huge binding energy were released based on the free energy calculations and analyzing.

Based on the career, yeah.

There we can check the RMSD and which is the root mean square deviation, root mean RMSF which is the fluctuation level. So we can identify the robustness robustness over there based on the complex which results the RMS 3 RMSF, then energy calculation values several things. Based on the several analysis we can easily determine how the robustness occurs.

Occurs, then, then. This is a important thing. This is a prediction and possibility analyze. It's not a.

HTML analysis. So there is a possibility in a which we can identify in via in silicon computational approaches, but further experimental in vivo and in vitro further clinical accessory clinical.

Clinical analysis is mandatory to evaluate the robustness.

Thank you, Professor Praveen. You’ve detailed the simulation techniques and validations like RMSD, RMSF, and free-energy calculations effectively and emphasized the importance of integrating computational predictions with in vivo and in vitro experiments. Now, let us evaluate your ability to teach both theory and laboratory courses. Can you describe your teaching approach for a laboratory session on molecular docking? How would you structure it to ensure students understand the concepts and practical workflow successfully?

Yeah, that's a good question. Actually I believe in project based approach which is I explained the concept to the student clearly, my expertise being.

Teacher Teacher more complex topic into simple things.

So which the student can easily understand my concept.

For example, if I teach the molecular docking.

I I asked the students to ident first of all to understand the disease conditions based on the several genes, several proteins involved in the involved in the particular disease, the.

First of all, if the student identify which they work in particular diseases that they can retract the protein in a protein databases. I also teach protein databases to the students which can I can teach them easily. Moreover, there are several proteins databases and easily approachable analysis are there so.

The scenario start with the biological problem. So which is a for example, a known heart medicine is a sobing resistant uh, we need to find why it is a drifting out to binding pocket. Then ask the student to predict the outcome uh before running the simulation the executions.

Browsers is start yeah performing the simulations where initially the docking MD or Python analysis.

After that, the the student automatically focused on heavily focused on. Why? For example, if the RMSD is a high, do not just ask for the value.

Or or what it physically impacts about the protein stability following that?

I asked them to analyze the technical scaffolding in a lab set setting student. Student may often get jumps which which halts their biological learning. You can address this thing via several notebooks or several several databases, several softwares, several tools etcetera.

If for conducting molecular docking studies there is a approach which is to identify the protein to identify the compound which which are interacted each other, then to for the interaction analysis the molecular docking software and the knowledge of the molecular the software is necessary. There is a vast change of molecular software available in the era. So it is auto dog Autodock is a Autodock Autodock Vena is a have a similar algorithm but.

That is, the one is the graphical user phase, another one is a trip to command line interfaces. Following that there is a disposition visualizer. Each and everything have a different algorithm, different analysis and different techniques over there. Among them, I teach everything to the students easily. So the student before I before I already told you.

I believe in project based approach because I explained the project how they work in the project so they can easily understand each and every concept in the.

Easily understand what is the purpose of molecular docking dynamics relations so so they are ready to.

Biordiner system then they can.

Depend on our drug.

Thank you, Professor Praveen, for such a comprehensive explanation of your teaching approach. Your strategy of initiating with real-world biological problems, integrating various tools, guiding students through databases, and using a project-based approach reflects a solid emphasis on hands-on learning and critical thinking. Next, I’d like to discuss your experience with student evaluation and exam-related duties. Can you explain your approach to designing assessments and evaluating students? How do you ensure fair and effective evaluation, especially in practical courses?

Question is not clear.

Hello.

I’ll clarify. How do you design tests or assessments for students, especially in practical courses like molecular docking? How do you ensure the evaluation process is both fair and reflects their understanding effectively?

Yeah, I have quite a awesome experience with the students. I guide over 20 plus MSC project students.

In my opinion, to the experience and the teaching experience.

That that is uh, uh, I instruct them to maintain a proper logbook maintenance.

The logbook must contain and ensure the document, the document and which is based on the command line and the principles, materials and methods were handled in the logbook.

Log up OK, then following that troubleshooting. I follow each and every lab session. Troubleshooting Viva is necessary and.

Which which which allow me to evaluate the perspective and understanding of the student.

So that is that I can deliberately give them broken data PDP file which directly retrieved from a PDP databases which is a 3D coordinate file. For example, I I asked them to identify the missing atom, the missing atom and I sit with the student and see how they use and use the tools to fix the missing pattern.

Then I provide them a mini project in the mini project in the we'll conduct.

In the final weeks, which let them choose a plan basically can or a synthetic drug and I provide or I ask them to choose a particular target protein, which are involved in the different diseases can be seen.

So I provide them, yeah, a full docking to perform, uh with molecular dynamics relations.

Thank you, Professor Praveen. Your approach of combining logbook maintenance, troubleshooting viva sessions, hands-on data correction tasks, and culminating with a mini-project highlights a well-rounded process to assess both theoretical understanding and practical skills effectively. Moving ahead, let us discuss guiding student projects and research. How do you mentor students through their research projects to ensure they contribute meaningfully to the field and develop their independent research capability?

Yeah, you're extremely right. Each and every student have a different perspective in their own own research.

And they have different kinds of interest because the student have a different knowledge and different kind of interest over the research after after you provide the knowledge to the student.

I analyze the interested area of the student.

OK, if I analyze the for example if the if I have a 5 project student, each and every person want to work with separate diseases or a separate technique so.

I integrate the techniques into the project and I explain them how they work in the current.

Current era.

If for example the drug designing take much time, for example, traditionally it takes around 20 to 25 years to launch a new drug, but biomatics.

Drinks the EOS which also cost effective. I explained the.

This I explained the quality and the quantity of the biomarkers.

So they can easily understand my perspective and I guide them to launch a novel drug. Sorry long.

After 10 years or 12 years, I explained the everything and I explained their contributions in the current era.

To allow them to launch a novel track.

Thank you, Professor Praveen. Your approach of tailoring guidance to each student’s interests, integrating relevant techniques into their projects, and highlighting the impact of their contributions on the field and the broader timeline showcases your commitment to fostering independent and meaningful research. Now, let's shift to your communication and teaching approach. How do you ensure that complex scientific topics, such as computational biology or molecular dynamics, are communicated effectively to students with varying levels of understanding? Can you provide an example where you simplified a particularly challenging concept?

Yeah.

Multiple docking approach is a bitter.

Good white but uh one of the student in my MRC project struggled to learning molecular dosing simulation.

Even he did, he didn't aware about floating databases.

Like PDB popcam.

Upcoming which is a chemical databases, I provide the knowledge about the databases. Initially, what is the purpose of the databases like protein Uniprot? What is the purpose of the Unifrod? Then what is the purpose of PDB? What are the files we present in the PDB after the After instructing them under, I sit with him and ask ask him to download the data directly from that protein database. I explained the file each and every line.

After that he understand easily.

OK, then the.

I allow him.

The because he is a beginner so.

I focused on what and why at this level students often struggle with their she scale of the data. I use uh virtual microscope onlogging, which is a Imagine you have a high speed camera that can take till a trillion pictures per second. If the talking is like a photograph of a key is a lock. MD is a movie that shows if a key is a actually stays.

In the lock or if the lock changes the shape when the windows blows. Followingly I simplified visual which use a bell, uh sorry ball and string model to explain atoms and thoughts.

Following that I understand. I help them to understanding that molecules are not static but constantly moving and vibrating.

That is, there is a different kinds of students there, intermediate, beginner, advanced based on the quality I teach them.

Thank you, Professor Praveen. Your adaptability in teaching—using simple analogies like the key and lock mechanism for molecular dynamics, leveraging visual models, and tailoring your approach to the student’s level of knowledge—demonstrates your strength in effective communication and structured teaching. Next, I’d like to discuss your research publications. Could you provide an overview of the key findings or contributions from the peer-reviewed journal articles you’ve authored? How have they impacted the field of bioinformatics and medical microbiology?

Yeah, alright. First of all, I published a research article which which was published in a peer review publication on in AC Omega.

Sorry to interrupt, we're down to the last 5 minutes.

Which 4 was done by structural dynamics of Athos glorious proteins, which provides the insights from critical Saxagansa which is commonly known as Havro.

That interact functional and structural changes in atherosclerotic protein.

There I showed business to binding nature which is I selected 4 components which is the epicatechin, epicatechin, galley, thyramine, antibiotax.

Which are the major key players against several?

Disorder like cardiovascular diseases so that I found the biotic compound which is known as the epicating gallite forced from uh, critical accident show that the best molecular association with the pivotal protein involved in the.

And there is there has a promising therapeutic potential for drug development interview.

The infirco approach Earth only provide us a possibility, but further experimental examination is necessary which sets into the light.

But I already told you.

Thank you, Professor Praveen. Your publication on structural dynamics of atherosclerosis-related proteins and your identification of epicatechin gallate as a potential therapeutic compound highlights significant contributions to the field. Your emphasis on transitioning from in silico findings to experimental validation demonstrates a clear understanding of the scientific process. Lastly, I’d like to address your experience with industry projects or consultancy. Have you had the opportunity to collaborate with industry on bioinformatics-related projects? If so, could you detail one of these projects and its outcomes?

No, I don't have experience in the industrial project. I only guide MSC project students over 20 plus students I get. But I love to collaborate with other Staffs other other projects also. For example I during my PhD I work in.

Post-myocal infections. Meantime, I also work in government projects like RUPA 2.0.

For calcium dysregulation in post myocardial infarction that I analyze the calcium dysregulation mediated post myoparian infection.

If I get the opportunity in industry, definitely I I wish to collaborate with them and I also wish to collaborate with my seniors or and my coworkers. I definitely my ultimate goal is to publish impactful research articles.

Over there.

That's all.

Thank you for your response, Professor Praveen. Your academic focus and your work on key projects, like the RUPA 2.0 initiative on calcium dysregulation in cardiovascular research, underscore your dedication to impactful research. With that, we've covered the relevant aspects. Is there anything else you would like to add before we wrap up?

Are your voice is strict?

Done.

Am I audible to you?

My tone is intentionally formal and precise

Yeah.

Yes, Professor Praveen, I can hear you. Since you indicated "done," would you like to officially confirm and conclude this interview?

Thank you. Thank you for this opportunity.