Yes, what does it mean to talk about an optimal code? The reason for the thread, as stated in the OP, is to discuss the optimality of the genetic code ;).
That it is very optimal for error minimization and that other codes could have emerged that are better with regards to error minimization, but did not.
Long, boring blog posts. Cut and paste information. We more appreciate a link and a summary in order to discuss things.
Yes, what does it mean to talk about an optimal code? The reason for the thread, as stated in the OP, is to discuss the optimality of the genetic code ;).
So. What does it mean?
That it is very optimal for error minimization and that other codes could have emerged that are better with regards to error minimization, but did not.
So it is code very optimal for error minimization but it could have been better. What about it?
Well we have looked at 1 and we found that from any starting point we would have gotten the same or better “optimal” code. (don’t really get the degrees of optimality either but hey, it’s all fun)
Are you now guaranteeing that if I look into 2 ~ 9, I won’t find the same thing? That is what you are saying?
But that is what I am not getting. It is optimal yet there are other more optimal codes. (one gets degrees of optimal??) So what does this optimal code mean? I’m curious here and this is your thread. I was hoping for some enlightenment.
With regards to error minimization. Your point being? There are other parameters as well.
Which optimal genetic code? We are discussing the optimality of the genetic code (the SGC) (as stated in the OP). Error minimization is not the only parameter.
Which you said above is not the be all and end all of optimality. I fail to understand this. Please explain.
Which optimal genetic code? We are discussing the optimality of the genetic code (the SGC) (as stated in the OP). Error minimization is not the only parameter.
So what about it? What are we discussing about it? And didn't you admit that for the rest of your parameters we'll have the same kind of thing as we see for parameter 1? Other possibilities, more optimality, different starting points, resulting in different optimal codes, etc etc. What is going on here?
Other parameters to consider as well. Not only one.
No. That you will have to read up on and find out for yourself. You might find that the code is very optimal for other parameters and even more optimal, or not, if all the different paramaters are taken into consideration. I am not guaranteeing that that is the case as there has been no study whereby various parameters have been taken into consideration.
More parameters? Take all the parameters into consideration? etc…
Other parameters to consider as well. Not only one.
Yes and?
No. That you will have to read up on and find out for yourself. You might find that the code is very optimal for other parameters and even more optimal, or not, if all the different paramaters are taken into consideration. I am not guaranteeing that that is the case as there has been no study whereby various parameters have been taken into consideration.
So what is this about again?
More parameters? Take all the parameters into consideration? etc..
No I am not sure how many parameters there are, which is why I have been asking you for a list.
Errr, ??? from the OP:
The purpose of this thread is to discuss recent findings on the optimality of the genetic code.
So what about the findings? So far I have it is optimal but it could have been more optimal and from any starting point we get optimality - some more than others (considering one parameter). What does this mean?
Err... Are all the parameters known? Which parameters have been tested so far?
You tell me, you're the one wanting to discuss this. I am just trying to catch up and lagging way way behind it seems.