CCL: Computational Chemistry Ontology



I think the pointers previously cited give a good overview of the problem
 of ontology in computational chemistry. That term is too broad for usefully
 defining an ontology. You really need to identify the problem space you are
 working in such as cheminformatics based on data extracted from ELNs, or assay
 definitions and types that you might troll through in pulling data from PubChem
 etc. Or, the various tools used in QM applications with terms ranging from basis
 sets to density functionals etc.
 But on the philosophy side I’ll quibble a bit on what was said.
 The quantization of physical phenomena is the ‘law of nature’. It
 is captured effectively in Schroedinger’s equation due to that
 mathematical formalism. Quantum mechanics is an approximation to solutions of
 Schoedinger’s equation. As computational power has increased over the
 decades we are increasingly able to approach useful problem spaces. That is
 often through the combination of methods of varying treatment of electron
 correlation and dispersion. The severe scaling of problems means that we still
 can only approximate fine details of larger problems.
 The question usually comes down to what level of detail matters to your problem.
 Do you want to get some idea of how a protein can move around your ligand?
 Various approaches to molecular dynamics will do very nicely. But, you could add
 a more sophisticated handling of water through additional DFT evaluation of each
 step and add correction factor forces to the MD. Are you trying to model light
 harvesting proteins and account for energetics of photon to electron shift?
 That’s going to need more.
 DFT, coupled cluster methods, or pure molecular mechanics are simply empirical
 formalisms that are useful in the right setting.
 We can extend this to QSAR in a dramatic example. If you compile enough examples
 of a problem space and develop a mathematical model that represents that space
 with high confidence, have you identified a ‘law of nature’? The
 recent Nobel Prize on protein folding is just that. All these ‘AI’
 methods are well fitted models, often simply with very deep (many layered)
 neural nets to model the phenomena. Even in this space though, there are still
 exceptions.
 So, how much ‘truth’ do you want with your ontology?
 Dominic Ryan
 > From: owner-chemistry+m.dominic.ryan==gmail.com+*+ccl.net
 <owner-chemistry+m.dominic.ryan==gmail.com+*+ccl.net> On Behalf Of David
 Young zqmuser]![gmail.com
 Sent: Sunday, November 10, 2024 8:18 AM
 To: Ryan, M Dominic  <m.dominic.ryan+*+gmail.com>
 Subject: CCL: Computational Chemistry Ontology
 Darren,
 Quantum chemistry is an application of quantum mechanics, which is generally
 accepted as a law of nature, so follow the ontology for laws of nature.
 Molecular mechanics & dynamics are based on other laws of nature (i.e.
 Hook's Law of Elasticity), which are not strictly the correct formulation but
 have been validated as giving results that match to experiment to a reasonable
 accuracy within a certain region (near equilibrium geometry).  The constants in
 these equations are fitted to reproduce experimental data.
 Some of the cheminformatics methods, like QSAR and QSPR, are completely
 empirical. Although they are not derived from any law of nature, they can give
 results accurate enough to be useful for certain research needs.
 Dave Young (he, him, Dr., scientist, fencer, author)
 The wise person tries to find the truth.
 The foolish person believes whoever tells them what they want to hear.
 On Sun, Nov 10, 2024 at 6:40 AM Darren Rhodes darren.rhodes!^!gmail.com
 <http://gmail.com>;
 <owner-chemistry[a]ccl.net <mailto:owner-chemistry[a]ccl.net> > wrote:
 Sent to CCL by: "Darren  Rhodes" [darren.rhodes]|[gmail.com <http://gmail.com>; ]
 Hi All
 Can you point me in the direction of an appropriate ontology for use in
 computational chemistry?
 all the best
 Darren.
 darren.rhodes.:.REMOVEgmail.com
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 class=WordSection1><p class=MsoNormal><span
 style='font-size:11.0pt;font-family:"Palatino Linotype",serif'>I
 think the pointers previously cited give a good overview of the problem of
 ontology in computational chemistry. That term is too broad for usefully
 defining an ontology. You really need to identify the problem space you are
 working in such as cheminformatics based on data extracted from ELNs, or assay
 definitions and types that you might troll through in pulling data from PubChem
 etc. Or, the various tools used in QM applications with terms ranging from basis
 sets to density functionals
 etc.<o:p></o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>But on the philosophy side I’ll quibble a bit on
 what was said. <o:p></o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>The quantization of physical phenomena is the
 ‘law of nature’. It is captured effectively in
 Schroedinger’s equation due to that mathematical formalism. Quantum
 mechanics is an approximation to solutions of Schoedinger’s equation. As
 computational power has increased over the decades we are increasingly able to
 approach useful problem spaces. That is often through the combination of methods
 of varying treatment of electron correlation and dispersion. The severe scaling
 of problems means that we still can only approximate fine details of larger
 problems.<o:p></o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>The question usually comes down to what level of detail
 matters to your problem. Do you want to get some idea of how a protein can move
 around your ligand? Various approaches to molecular dynamics will do very
 nicely. But, you could add a more sophisticated handling of water through
 additional DFT evaluation of each step and add correction factor forces to the
 MD. Are you trying to model light harvesting proteins and account for energetics
 of photon to electron shift? That’s going to need more.
 <o:p></o:p></span></p><p class=MsoNormal><span
 style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>DFT, coupled cluster methods, or pure molecular
 mechanics are simply empirical formalisms that are useful in the right setting.
 <o:p></o:p></span></p><p class=MsoNormal><span
 style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>We can extend this to QSAR in a dramatic example. If
 you compile enough examples of a problem space and develop a mathematical model
 that represents that space with high confidence, have you identified a
 ‘law of nature’? The recent Nobel Prize on protein folding is just
 that. All these ‘AI’ methods are well fitted models, often simply
 with very deep (many layered) neural nets to model the phenomena. Even in this
 space though, there are still
 exceptions.<o:p></o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>So, how much ‘truth’ do you want with
 your ontology? <o:p></o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'>Dominic
 Ryan<o:p></o:p></span></p><p
 class=MsoNormal><span style='font-size:11.0pt;font-family:"Palatino
 Linotype",serif'><o:p>&nbsp;</o:p></span></p><div
 style='border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in
 0in'><p class=MsoNormal style='margin-left:.5in'><b><span
 style='font-size:11.0pt;font-family:"Calibri",sans-serif'>From:</span></b><span
 style='font-size:11.0pt;font-family:"Calibri",sans-serif'>
 owner-chemistry+m.dominic.ryan==gmail.com+*+ccl.net
 &lt;owner-chemistry+m.dominic.ryan==gmail.com+*+ccl.net&gt; <b>On
 Behalf Of </b>David Young
 zqmuser]![gmail.com<br><b>Sent:</b> Sunday, November 10, 2024
 8:18 AM<br><b>To:</b> Ryan, M Dominic
 &lt;m.dominic.ryan+*+gmail.com&gt;<br><b>Subject:</b>
 CCL: Computational Chemistry
 Ontology<o:p></o:p></span></p></div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p><div><div><p
 class=MsoNormal
 style='margin-left:.5in'>Darren,<o:p></o:p></p></div><div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p></div><div><p
 class=MsoNormal style='margin-left:.5in'>Quantum chemistry is an application
 of quantum mechanics, which is generally accepted as a law of nature, so follow
 the ontology for laws of
 nature.<o:p></o:p></p></div><div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p></div><div><p
 class=MsoNormal style='margin-left:.5in'>Molecular mechanics &amp;
 dynamics are based on other laws of nature (i.e. Hook's Law of Elasticity),
 which are not strictly the correct formulation but have been validated as giving
 results that match to experiment to a reasonable accuracy within a certain
 region (near equilibrium geometry).&nbsp; The constants in these equations
 are fitted to reproduce experimental
 data.<o:p></o:p></p></div><div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p></div><div><p
 class=MsoNormal style='margin-left:.5in'>Some of the cheminformatics methods,
 like QSAR and QSPR, are completely empirical. Although they are not derived from
 any law of nature, they can give results accurate enough to be useful for
 certain research
 needs.<o:p></o:p></p></div><div><p
 class=MsoNormal style='margin-left:.5in'><br
 clear=all><o:p></o:p></p></div><div><div><div><div><p
 class=MsoNormal style='margin-left:.5in'><b><span
 style='font-size:13.5pt;font-family:"Georgia",serif;color:blue;background:white'>Dave
 Young (he, him, Dr., scientist, fencer,
 author)</span></b><o:p></o:p></p><div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p></div><div><div><p
 class=MsoNormal style='margin-left:.5in'><span
 style='color:#741B47'>The wise person tries to find the
 truth.</span><o:p></o:p></p></div><div><p
 class=MsoNormal style='margin-left:.5in'><span
 style='color:#741B47'>The foolish person believes whoever tells them what
 they want to
 hear.</span><o:p></o:p></p></div></div><div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p></div></div></div></div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p></div><p
 class=MsoNormal
 style='margin-left:.5in'><o:p>&nbsp;</o:p></p><div><div><p
 class=MsoNormal style='margin-left:.5in'>On Sun, Nov 10, 2024 at 6:40<span
 style='font-family:"Arial",sans-serif'> </span>AM
 Darren Rhodes darren.rhodes!^!<a href="http://gmail.com";>gmail.com</a> &lt;<a href="mailto:owner-chemistry[a]ccl.net";>owner-chemistry[a]ccl.net</a>&gt;
 wrote:<o:p></o:p></p></div><blockquote
 style='border:none;border-left:solid #CCCCCC 1.0pt;padding:0in 0in 0in
 6.0pt;margin-left:4.8pt;margin-right:0in'><p class=MsoNormal
 style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:.5in'><br>Sent
 to CCL by: &quot;Darren&nbsp; Rhodes&quot; [darren.rhodes]|[<a
 href="http://gmail.com";
 target="_blank">gmail.com</a>]<br>Hi
 All<br><br>Can you point me in the direction of an appropriate
 ontology for use in <br>computational chemistry?<br><br>all
 the
 best<br><br>Darren.<br>darren.rhodes.:.REMOVEgmail.com<br><br><br><br>-=
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