Rahul, molecular engineering involves manufacturing molecules and the development of novel manufacturing materials that uses them. The knowledge of computing and programming is particular essential in molecular engineering and computational biology in the aspect of computational modelling and simulation. This involves creating prototypes or models that can be simulated to observe how they will perform before they are actually deployed into real-life applications.

In Computational biology, there are many software that can be applied to processing biological data in order to derive new meanings and apply the significance of such novel discoveries to solving different public health problems.

For instance, in my research paper, I and my coauthors applied the knowledge of C++ programming language to develop a new computational biology tool for detecting and extracting multiple DNA sequence from Gene sequences of different organisms: You can check it  here:

https://www.researchgate.net/publication/259487129_BengaSaVex_A_New_Computational_Genetic_sequence_extraction_tool_for_DNA_repeats

Your knowledge of programming and computing is especially needed in developing new tools in molecular engineering and computational biological. These tools can further provide insight in solving many public health problems.

I hope this helps.

Regards

Olugbenga

Article BengaSaVex: A New Computational Genetic sequence extraction ...

I think for you may work with MD Simulations will be good choice, it involves life sciences, computer languages and mathematics, and moreover, you may learn DFT too. Rest depends on you what type of work you want to do, internet is full of that types of examples and interdisciplinary choices, you can find a lot of people working on this approach.

The DFT I am talking about is not the level of UG course, many people were learning in their PG and Research studies, and for coding you may search a lot of papers available, for example http://www.ks.uiuc.edu, http://www.gromacs.org. These websites include coding related computational analysis of many problem.

Rahul, molecular engineering involves manufacturing molecules and the development of novel manufacturing materials that uses them. The knowledge of computing and programming is particular essential in molecular engineering and computational biology in the aspect of computational modelling and simulation. This involves creating prototypes or models that can be simulated to observe how they will perform before they are actually deployed into real-life applications.

In Computational biology, there are many software that can be applied to processing biological data in order to derive new meanings and apply the significance of such novel discoveries to solving different public health problems.

For instance, in my research paper, I and my coauthors applied the knowledge of C++ programming language to develop a new computational biology tool for detecting and extracting multiple DNA sequence from Gene sequences of different organisms: You can check it  here:

https://www.researchgate.net/publication/259487129_BengaSaVex_A_New_Computational_Genetic_sequence_extraction_tool_for_DNA_repeats

Your knowledge of programming and computing is especially needed in developing new tools in molecular engineering and computational biological. These tools can further provide insight in solving many public health problems.

I hope this helps.

Regards

Olugbenga

Article BengaSaVex: A New Computational Genetic sequence extraction ...

You are welcome Rahul.

I'll chime in here as well. I've a MSc in bioinformatics and I'm doing a PhD in bioinformatics, and I wish I had more formal training in programming and in advanced math. A couple years ago I wrote some software to cluster protein structures, which made use of quaternions. Far beyond my skills, so I had to get help with them (I still have no idea why the equations work, I just implemented them and made sure they do). I've also written software to identify gene patterns in a genome (despite introns), which uses a profile hidden Markov model. I've also done some work using various discrete optimization algorithms, graph theory etc. Bioinformatics can either mean using tools other people make for useful purposes, or creating new tools yourself (or both). Both are very important. To create new tools you pretty much require programming experience and knowledge of math/probability/algorithms. And if your specialty is more towards that side than the life sciences, well I can guarantee people will seek you out for collaborations.

Yeah you'll find the whole field of bioinformatics is one or the other but rarely both; good at bio and learning math/comp, or good at math/comp but learning bio.