Disease Motifs
Investigating the Biomechanics of Disease
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If you are interested in sponsoring some further research here are some more details.

The main aim will be to explore the nature of a disease by doing proteomic analysis of the proteins that are associates with that disease. There is no guarantee that anything will be found that will cure the disease definitively but hopefully a better understanding of the disease process will be made. This work is solely concerned with the theoretical and computational work.

The minimum time that is required to make any headway is one year but realistically to find some significant results may take longer, possibly five to ten years, but a five-year period might form some absolute limit if you would perfer that to be the case. Ideally, funding for a five year period would allow me the time to complete a reasonable amount of work on any one project without having to worry about looking for other funding. Hopefully some scientific ‘papers’ will get published in some renowned scientific journals but if these were not accepted by mainstream science journals, the work will be made available on here or elsewhere (see below). As you may know, I am attempting to write a book, so any new research may form one of the chapters within it.

One year would need to be supported by £35,000 and this will have to be paid in advance. For private individuals wanting to sponsor some research, but wishing to remain anonymous, your privacy WILL be respected. If you are interested in sponsorship please email me so that we can have a discussion about the details involved.

For further details or to just make some general (non-sponsorship related) enquiries about the work please feel free to email me


If you would like to help me in this work and want to give an amount of money so as to support the research that is being attempted here I have attached a donation button. This will link you to a PayPal account. You have to type in the amount you want to donate and you will have the option of donating via a PayPal account ("Donate") which is the top option or "Donate with a card". You will also have an option to make this a monthly donation.

To make donation just click on the button below.

Disease Motifs - A Wild Speculative Excursion into the Field of Bioinformatics

I am in the process of writing a book about this work in general with all the explanations necessary and with the results of some of the research that has been conducted. Hopefully this might help and inspire other individuals to become involved. The book will be self-published on e-publishing sites like Kindle and I will probably do this in parts to make its publication easier for myself.

Disease Motifs. A Wild Speculative Excursion into the Field of Bioinformatics: - The Basics

The first chapter or book one is called the Basics and is now available on Kindle, Amazon. It will instruct you into the basics of the work that is displayed on this site. You will find some of the Perl scripts code on the additional resources page and these are also included in the appendices of The Basics. I hope that you will not find this work too labourious. I am currently working on the Parkinson's dataset and will release this some time next year, hopefully.

Please be aware that this instalment has a lot of colour images, so you might well think to download it on to your computer, if your Kindle or other device does not show coloured images properly.

If you are interested in downloading please click on the link below.
Disease Motifs. A Wild Speculative Excursion into the Field of Bioinformatics: - The Basics

Additional Resources for the Book

There are some additional resources that will be available located on the Additional Resources page.

Preliminary set theory-type analysis of proteins associated with Parkinson's disease


In an attempt to create a model of Parkinson's disease (PD) eighty-three proteins were extracted from the Swiss-Prot protein database that had some casual mention of PD. These were split up into various subsets of proteins of which three are focused on here: PARK, made up of proteins that had some indication that polymorphisms in the protein might increase a person's susceptibility to develop PD; MITOCHOND, proteins which had some association with the mitochondria; and MT-C1D, proteins that were implicated in mitochondrial complex 1 deficiency. The PARK subset had 21 out of 83 proteins (21/83); MITOCHOND 33 out of 83 proteins (33/83); and MT-C1D 17 out of 83 proteins (17/83). The results could be used to build up a basic model of PD creating phenotypes based on sets of proteins. The main phenotypes established here are; non-mitochondrial PD (50/83) and mitochondrial PD (33/83). Further division is possible dependant on whether proteins have polymorphisms which increase susceptibility to develop PD. MT-C1D seems to be independent of the PARK set. This is a very simplistic attempt at trying to model Parkinson's disease at the proteomic level and will need further work to build up the more complex and realistic PD proteomic disease model.

Theoretical Biological Switch With a Possible Important Role In Parkinson's Disease, Schizophrenia, Hyposmia and the Onco-Parkinson's Mechanism


Antagonists for the Histamine Receptor H2 (HRH2_HUMAN) protein may have some efficacy in reducing levodopa-induced dyskinesia in Parkinson's disease. Using short sequence proteomic analysis on the histamine receptor 2 which involves splitting this protein sequence into smaller fragments of ten amino acids and contrasting (using BLAST) against the human protein database.

Three main motifs were found; with the initial two being named the CW-motif and the NxxxNP-motif, with the adjacent amino acid residues being important. The third motif NPxxY overlays the end of the NxxxNP-motif and may form part of a rhodopsin NPxxY(x)5,6F type motif but in this case, it is a variant form NPxxY(x)6,7F present in many of the serotonin and dopamine receptors found here. Using the variants of NPxxY found in the dopamine and serotonin receptors, as a specific amino acid search-term (non-BLAST), it was found that a high proportion of the proteins returned were olfactory proteins.

This small region of similarity amongst dopamine, serotonin and olfactory receptors might be suggestive of a biological switch which might play an important role in Parkinson's disease, schizophrenia and the onco-Parkinson's effect seen in people with Parkinson's disease (who may have raised or lower risk of developing certain types of cancer).

There is more data available on the Project 3 page