Re: [ccp4bb] AW: [EXTERNAL] Re: [ccp4bb] AW: [ccp4bb] challenges in structural biology

2019-09-21 Thread Michael Hothorn
Dear Patrick, plants do have a rather complex immune system. best regards, 
Michael

On September 21, 2019 10:18:39 AM GMT+02:00, Patrick Shaw Stewart 
 wrote:
>Dear Herman
>
>Animals that are sick tend not to move around a lot.  One can imagine
>that
>this limits the tendency for animal viruses and other animal pathogens
>to
>become more and more virulent, because the very virulent strains won't
>spread as fast.  And (importantly) when the most virulent strains
>finally
>arrive at some particular location, they will find that their potential
>hosts are already immune*.
>
>Since plants don't move around, I have always wondered why plant
>pathogens
>don't increase in virulence until they wipe out their hosts, especially
>when you bear in mind that plants don't have complex immune systems.
>
>Could these multiple genes be a way to avoid being wiped out by
>disease?
>Ie if the plant gets sick, it just switches on a batch of "reserve"
>genes**.  Is that possible?
>
>Thx, Patrick
>
>
>* This is a pet theory of mine: https://oldwivesandvirologists.blog
>
>**Or maybe the expression of these genes is random - two genetically
>identical individuals growing side-by-side might express different
>batches
>of genes on a random basis.  Again, this might be mainly about disease
>prevention.
>
>
>
>On Fri, Sep 20, 2019 at 8:51 AM  wrote:
>
>> Dear John,
>>
>> Plants cannot walk away to a more favorable spot. They remain stuck
>where
>> they germinate, e.g. whether the place is sunny, shady, wet, dry,
>fertile,
>> poor etc. So plants compensate by having a lot of genes available to
>be
>> able to adapt to the particular spot where happen to be. And indeed,
>plants
>> have usually more genes then animals!
>>
>> Best,
>>
>> Herman
>>
>>
>>
>> *Von:* CCP4 bulletin board [mailto:CCP4BB@JISCMAIL.AC.UK] *Im Auftrag
>von
>> *John R Helliwell
>> *Gesendet:* Freitag, 20. September 2019 09:19
>> *An:* CCP4BB@JISCMAIL.AC.UK
>> *Betreff:* [EXTERNAL] Re: [ccp4bb] AW: [ccp4bb] challenges in
>structural
>> biology
>>
>>
>>
>> *EXTERNAL : *Real sender is owner-ccp...@jiscmail.ac.uk
>>
>>
>>
>> Dear Martin,
>>
>> Many thanks for these details of the size of the human genome over
>the
>> decades and also the news of your most interesting upcoming review. I
>shall
>> read it with great interest.
>>
>> Incidentally is the over 4 genes for the rice genome number
>correct?
>> This number caught my eye as being interesting how the rice genome is
>more
>> complicated than our genome.
>>
>> Best wishes,
>>
>> John
>>
>> Emeritus Professor John R Helliwell DSc
>>
>>
>>
>>
>>
>>
>>
>>
>> On 19 Sep 2019, at 08:35, Kollmar, Martin 
>wrote:
>>
>> Dear John,
>>
>> the „100,000 human genes“ is a long-standing myth broad forward by
>the
>> initiators of the U.S. human genome sequencing projects in 1990. This
>large
>> number completely contradicted all genetics and mutation data since
>the 1940
>> th, but the sequencing community (genome, cDNA, EST) didn’t read even
>the
>> standard text books. Thus, the “30,000” genes published with the two
>human
>> genome papers in 2001 are not “surprisingly low” but just in
>accordance
>> with the predictions and the data since the 1940th. The gene number
>went
>> down to about 23,000 already in 2004, and the current numbers
>(depending on
>> database) range around 20,000 human protein-coding genes. The myth of
>the
>> large numbers is only propagated by those who profit from larger
>numbers
>> (e.g. bigger grants, papers in higher IF journals, big consortia).
>>
>>
>>
>> I have written a review about the current state (and history) of the
>human
>> protein-coding genes, which will appear online in BioEssays soon and
>> finally in the November issue (will be open access). In this review
>there
>> will be some (hopefully) useful plots showing the gene numbers since
>the
>> 1940th and a detailed review of all the numbers and their
>experimental
>> basis (most were actually just extrapolations from small-scale data).
>>
>>
>>
>> Please excuse this kind of self-advertisement, but it is really more
>than
>> time to move this myth out of science literature and communication.
>>
>>
>>
>> Best regards,
>>
>> Martin
>>
>>
>>
>> Priv. Doz. Dr. Martin Kollmar
>>
>>
>>

Re: [ccp4bb] AW: [EXTERNAL] Re: [ccp4bb] AW: [ccp4bb] challenges in structural biology

2019-09-21 Thread Patrick Shaw Stewart
Dear Herman

Animals that are sick tend not to move around a lot.  One can imagine that
this limits the tendency for animal viruses and other animal pathogens to
become more and more virulent, because the very virulent strains won't
spread as fast.  And (importantly) when the most virulent strains finally
arrive at some particular location, they will find that their potential
hosts are already immune*.

Since plants don't move around, I have always wondered why plant pathogens
don't increase in virulence until they wipe out their hosts, especially
when you bear in mind that plants don't have complex immune systems.

Could these multiple genes be a way to avoid being wiped out by disease?
Ie if the plant gets sick, it just switches on a batch of "reserve"
genes**.  Is that possible?

Thx, Patrick


* This is a pet theory of mine: https://oldwivesandvirologists.blog

**Or maybe the expression of these genes is random - two genetically
identical individuals growing side-by-side might express different batches
of genes on a random basis.  Again, this might be mainly about disease
prevention.



On Fri, Sep 20, 2019 at 8:51 AM  wrote:

> Dear John,
>
> Plants cannot walk away to a more favorable spot. They remain stuck where
> they germinate, e.g. whether the place is sunny, shady, wet, dry, fertile,
> poor etc. So plants compensate by having a lot of genes available to be
> able to adapt to the particular spot where happen to be. And indeed, plants
> have usually more genes then animals!
>
> Best,
>
> Herman
>
>
>
> *Von:* CCP4 bulletin board [mailto:CCP4BB@JISCMAIL.AC.UK] *Im Auftrag von
> *John R Helliwell
> *Gesendet:* Freitag, 20. September 2019 09:19
> *An:* CCP4BB@JISCMAIL.AC.UK
> *Betreff:* [EXTERNAL] Re: [ccp4bb] AW: [ccp4bb] challenges in structural
> biology
>
>
>
> *EXTERNAL : *Real sender is owner-ccp...@jiscmail.ac.uk
>
>
>
> Dear Martin,
>
> Many thanks for these details of the size of the human genome over the
> decades and also the news of your most interesting upcoming review. I shall
> read it with great interest.
>
> Incidentally is the over 4 genes for the rice genome number correct?
> This number caught my eye as being interesting how the rice genome is more
> complicated than our genome.
>
> Best wishes,
>
> John
>
> Emeritus Professor John R Helliwell DSc
>
>
>
>
>
>
>
>
> On 19 Sep 2019, at 08:35, Kollmar, Martin  wrote:
>
> Dear John,
>
> the „100,000 human genes“ is a long-standing myth broad forward by the
> initiators of the U.S. human genome sequencing projects in 1990. This large
> number completely contradicted all genetics and mutation data since the 1940
> th, but the sequencing community (genome, cDNA, EST) didn’t read even the
> standard text books. Thus, the “30,000” genes published with the two human
> genome papers in 2001 are not “surprisingly low” but just in accordance
> with the predictions and the data since the 1940th. The gene number went
> down to about 23,000 already in 2004, and the current numbers (depending on
> database) range around 20,000 human protein-coding genes. The myth of the
> large numbers is only propagated by those who profit from larger numbers
> (e.g. bigger grants, papers in higher IF journals, big consortia).
>
>
>
> I have written a review about the current state (and history) of the human
> protein-coding genes, which will appear online in BioEssays soon and
> finally in the November issue (will be open access). In this review there
> will be some (hopefully) useful plots showing the gene numbers since the
> 1940th and a detailed review of all the numbers and their experimental
> basis (most were actually just extrapolations from small-scale data).
>
>
>
> Please excuse this kind of self-advertisement, but it is really more than
> time to move this myth out of science literature and communication.
>
>
>
> Best regards,
>
> Martin
>
>
>
> Priv. Doz. Dr. Martin Kollmar
>
>
>
> Group Systems Biology of Motor Proteins
>
> Department NMR-based Structural Biology
>
> Max-Planck-Institute for Biophysical Chemistry
>
> Am Fassberg 11
>
> 37077 Goettingen
>
> Deutschland
>
>
>
> www.motorprotein.de
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.motorprotein.de_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=32JRE8HZHPdJxpaoz1sLz-PnTi-D_zZTMfdQs_FdEcI&s=IWuNyBzheAGJ761iddc78L4lz7sB21cKQTrawbV4j0M&e=>
> (Homepage)
>
> www.cymobase.org
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.cymobase.org_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA

[ccp4bb] AW: [EXTERNAL] Re: [ccp4bb] AW: [ccp4bb] challenges in structural biology

2019-09-20 Thread Herman . Schreuder
Dear John,
Plants cannot walk away to a more favorable spot. They remain stuck where they 
germinate, e.g. whether the place is sunny, shady, wet, dry, fertile, poor etc. 
So plants compensate by having a lot of genes available to be able to adapt to 
the particular spot where happen to be. And indeed, plants have usually more 
genes then animals!
Best,
Herman

Von: CCP4 bulletin board [mailto:CCP4BB@JISCMAIL.AC.UK] Im Auftrag von John R 
Helliwell
Gesendet: Freitag, 20. September 2019 09:19
An: CCP4BB@JISCMAIL.AC.UK
Betreff: [EXTERNAL] Re: [ccp4bb] AW: [ccp4bb] challenges in structural biology


EXTERNAL : Real sender is owner-ccp...@jiscmail.ac.uk

Dear Martin,
Many thanks for these details of the size of the human genome over the decades 
and also the news of your most interesting upcoming review. I shall read it 
with great interest.
Incidentally is the over 4 genes for the rice genome number correct? This 
number caught my eye as being interesting how the rice genome is more 
complicated than our genome.
Best wishes,
John
Emeritus Professor John R Helliwell DSc




On 19 Sep 2019, at 08:35, Kollmar, Martin 
mailto:m...@nmr.mpibpc.mpg.de>> wrote:
Dear John,
the „100,000 human genes“ is a long-standing myth broad forward by the 
initiators of the U.S. human genome sequencing projects in 1990. This large 
number completely contradicted all genetics and mutation data since the 1940th, 
but the sequencing community (genome, cDNA, EST) didn’t read even the standard 
text books. Thus, the “30,000” genes published with the two human genome papers 
in 2001 are not “surprisingly low” but just in accordance with the predictions 
and the data since the 1940th. The gene number went down to about 23,000 
already in 2004, and the current numbers (depending on database) range around 
20,000 human protein-coding genes. The myth of the large numbers is only 
propagated by those who profit from larger numbers (e.g. bigger grants, papers 
in higher IF journals, big consortia).

I have written a review about the current state (and history) of the human 
protein-coding genes, which will appear online in BioEssays soon and finally in 
the November issue (will be open access). In this review there will be some 
(hopefully) useful plots showing the gene numbers since the 1940th and a 
detailed review of all the numbers and their experimental basis (most were 
actually just extrapolations from small-scale data).

Please excuse this kind of self-advertisement, but it is really more than time 
to move this myth out of science literature and communication.

Best regards,
Martin

Priv. Doz. Dr. Martin Kollmar

Group Systems Biology of Motor Proteins
Department NMR-based Structural Biology
Max-Planck-Institute for Biophysical Chemistry
Am Fassberg 11
37077 Goettingen
Deutschland

www.motorprotein.de<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.motorprotein.de_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=32JRE8HZHPdJxpaoz1sLz-PnTi-D_zZTMfdQs_FdEcI&s=IWuNyBzheAGJ761iddc78L4lz7sB21cKQTrawbV4j0M&e=>
 (Homepage)
www.cymobase.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.cymobase.org_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=32JRE8HZHPdJxpaoz1sLz-PnTi-D_zZTMfdQs_FdEcI&s=fMYqMfsorSLNspHq5-Wx_WDkChCYsDr9NEXwrGsKvpo&e=>
 (Database of Cytoskeletal and Motor Proteins)
www.diark.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.diark.org_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=32JRE8HZHPdJxpaoz1sLz-PnTi-D_zZTMfdQs_FdEcI&s=QB0-HJUz9wLSC-Xd5_Bj6Gnhx70AaYoxkD8kIu7Ub6A&e=>
 (diArk - a resource for eukaryotic genome research)
www.webscipio.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.webscipio.org_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=32JRE8HZHPdJxpaoz1sLz-PnTi-D_zZTMfdQs_FdEcI&s=sy5FDRUX22Q-6XcBo-X_-tgZenKZRLf9N__I8x3pnBo&e=>
 (Scipio - eukaryotic gene identification)

Von: CCP4 bulletin board mailto:CCP4BB@JISCMAIL.AC.UK>> 
Im Auftrag von John R Helliwell
Gesendet: Donnerstag, 19. September 2019 08:51
An: CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>
Betreff: Re: [ccp4bb] challenges in structural biology

Dear James,
Well, 100,000 genes used to be the estimate of the size of the human genome.
(eg see 
https://physicsworld.com/a/protein-crystallography-the-human-genome-in-3-d/<https://urldefense.proofpoint.com/v2/url?u=https-3A__physicsworld.com_a_protein-2Dcrystallography-2Dthe-2Dhuman-2Dgenome-2Din-2D3-2Dd_&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=32JRE8HZHPdJxpaoz1sLz-PnTi-D_zZTMfdQs_FdEcI&s=Au_C7wioq-2-qa1kL026q6V6

Re: [ccp4bb] AW: [ccp4bb] challenges in structural biology

2019-09-20 Thread John R Helliwell
Dear Martin,
Many thanks for these details of the size of the human genome over the decades 
and also the news of your most interesting upcoming review. I shall read it 
with great interest.
Incidentally is the over 4 genes for the rice genome number correct? This 
number caught my eye as being interesting how the rice genome is more 
complicated than our genome.
Best wishes,
John 
Emeritus Professor John R Helliwell DSc




> On 19 Sep 2019, at 08:35, Kollmar, Martin  wrote:
> 
> Dear John,
> the „100,000 human genes“ is a long-standing myth broad forward by the 
> initiators of the U.S. human genome sequencing projects in 1990. This large 
> number completely contradicted all genetics and mutation data since the 
> 1940th, but the sequencing community (genome, cDNA, EST) didn’t read even the 
> standard text books. Thus, the “30,000” genes published with the two human 
> genome papers in 2001 are not “surprisingly low” but just in accordance with 
> the predictions and the data since the 1940th. The gene number went down to 
> about 23,000 already in 2004, and the current numbers (depending on database) 
> range around 20,000 human protein-coding genes. The myth of the large numbers 
> is only propagated by those who profit from larger numbers (e.g. bigger 
> grants, papers in higher IF journals, big consortia).
>  
> I have written a review about the current state (and history) of the human 
> protein-coding genes, which will appear online in BioEssays soon and finally 
> in the November issue (will be open access). In this review there will be 
> some (hopefully) useful plots showing the gene numbers since the 1940th and a 
> detailed review of all the numbers and their experimental basis (most were 
> actually just extrapolations from small-scale data).
>  
> Please excuse this kind of self-advertisement, but it is really more than 
> time to move this myth out of science literature and communication.
>  
> Best regards,
> Martin
>  
> Priv. Doz. Dr. Martin Kollmar
>  
> Group Systems Biology of Motor Proteins
> Department NMR-based Structural Biology
> Max-Planck-Institute for Biophysical Chemistry
> Am Fassberg 11
> 37077 Goettingen
> Deutschland
>  
> www.motorprotein.de (Homepage)
> www.cymobase.org (Database of Cytoskeletal and Motor Proteins)
> www.diark.org (diArk - a resource for eukaryotic genome research)
> www.webscipio.org (Scipio - eukaryotic gene identification)
>  
> Von: CCP4 bulletin board  Im Auftrag von John R 
> Helliwell
> Gesendet: Donnerstag, 19. September 2019 08:51
> An: CCP4BB@JISCMAIL.AC.UK
> Betreff: Re: [ccp4bb] challenges in structural biology
>  
> Dear James,
> Well, 100,000 genes used to be the estimate of the size of the human genome.
> (eg see 
> https://physicsworld.com/a/protein-crystallography-the-human-genome-in-3-d/ )
> It seems it has got easier, albeit still gargantuan, at ~30,000 genes to be 
> expressed into proteins.
>  
> Meanwhile funding agencies also look out for Big Ideas:-
> https://epsrc.ukri.org/research/ourportfolio/epsrcbigideas/?utm_source=Twitter&utm_medium=social&utm_campaign=SocialSignIn
> and even helpfully spell out the difference between a Big Idea and a Grand 
> Challenge!
> Maybe an “Open Door for funding” for us all?
>  
> Today also the repertoire of methods capable of resolving in 3D protein 
> structures has expanded further with the splendid development of cryoEM. 
>  
> To define challenges in terms of projects, as Max Perutz taught us 
> (“Haemoglobin the Molecular Lung”) avoids methods looking for problems.
>  
> Also a final thought, how we organise ourselves in different areas of the 
> World varies according to our cultural traditions. So the Big Project is 
> neutral to politics and can accommodate all contributions however so arrived 
> at.
>  
> “What shall we do with it?”
> As Darwin taught us, first make your Collection..
>  
> Greetings!
> John 
>  
> 
> Emeritus Professor John R Helliwell DSc
> https://www.crcpress.com/The-Whats-of-a-Scientific-Life/Helliwell/p/book/9780367233020
>  
>  
> 
> On 18 Sep 2019, at 22:15, James Holton  wrote:
> 
> Thank you John, an excellent choice as always.  Here is your trillion 
> dollars!  Now, what are you going to do with it?
> 
> Do you think simply scaling up current technology could reach this goal?  
> More screens, more combinations, more compute cycles?  Remember, if you want 
> the "genome/proteome" you need all of it, including all those super-cool 
> human membrane proteins we gave up on because they were too hard.  
> 
> I think we all have at least one of those projects in our past.  What was the 
> show-stopper in the end?  Did they just not grow crystals? Poor diffraction? 
> Weird diffraction? Twinned? Won't phase? Won't refine to a decent R factor? 
> Annoying reviewer? Did you try cryoEM? NMR? and did they not work either?
> 
> I think a key question for all of us is: what new capability would make you 
> decide to go back and pick up your old favorite project