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The Birth of Quantum Biology

Roland Piquepaille writes "Just when you finally have grasped the concept of quantum mechanics, it's time to wake up and to see the arrival of a nascent field named quantum biology. This is the scientific study of biological processes in terms of quantum mechanics and it uses today's high-performance computers to precisely model these processes. And this is what researchers at Rensselaer Polytechnic Institute (RPI) are doing, using powerful computer models to reveal biological mechanisms. Right now, they're working on a "nanoswitch" that might be used for a variety of applications, such as targeted drug delivery to sensors."

24 of 108 comments (clear)

  1. Comment removed by account_deleted · · Score: 2, Interesting

    Comment removed based on user account deletion

  2. How is this any different? by dorpus · · Score: 5, Interesting

    Scientists have been building 3-D computer models of organic molecules since at least the 1980s, using the same equations to predict likely reactions. It sounds like plain biochemistry given a new window dressing.

    1. Re:How is this any different? by exp(pi*sqrt(163)) · · Score: 2, Informative

      Most of those models have used classical mechanics with really primitive ball and spring models and a bunch of ad hoc rules for bonding.

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    2. Re:How is this any different? by wass · · Score: 5, Interesting

      Scientists have been modelling chemical systems within the quantum realm for almost a century now. The problem is that there are very few problems which can be exactly solved. Eg, the hydrogen atom is one of the few solvable ones, but in reality that's only solvable when ignoring all the fine structure corrections (no spin-orbit, relativistic, or spin-spin perturbations). Once you get to the 'difficult' problem of only a mere helium atom, which in its simplest form neglecting fine structure is 'only' two interacting electrons orbiting a nucleus that you model as just a point mass with charge +2e, things get very complicated very quickly. Now imagine modelling something more complicated like a benzen ring, then imagine an actual protein.

      This isn't anything new per se, just that the complexity of the modelled systems is getting larger, and due to the numercal estimation processes needed to get anything remotely usable these realms haven't been accessible until lately with the increase of computing power. So where does one draw the line between physics, chemistry, biochemistry, and biology? In these cases, what's being modelled are primarily systems consisting of electrons, neutrons, and protons, interacting with Coulomb force (like-charges repel), spin-orbit interactions, spin-spin interactions, Pauli-exclusion principle, etc. Add more atoms, system gets more complicated, and needs bigger computers.

      So it's an age-old problem, using almost age-old numerical techniques, running on new shiny computing clusters

      --

      make world, not war

    3. Re:How is this any different? by avelldiroll · · Score: 2, Informative

      It sounds like plain biochemistry given a new window dressing. Not exactly ... there's actually something new here (2-3 years old in fact). There are 3 "levels" of Computational chemistry : - ab-initio method : a resolution of the Schrödinger equation for the studied system with only a few approximations mandatory to solve problem more complex than the hydrogen atom. This method is fairly demanding on number crunching power and is applied on models of hundreds of atoms. - semi-empirical method : this method is based on the Hartree-Fock method used in ab-initio with the inclusion of approximation issued from experimental data. This method is applied on models of thousands of atoms. - molecular mechanics : this method uses drastic approximations in order to obtain a Newtonian system (linear system of equations). The major drawback of this method is that it does not allow chemical reactions, but conformational changes may be studied in solvated systems. This method may be used to model system of 100.000s atoms. This method was mainly developed to study biological systems (a middle sized solvated protein gives a system of 100.000 atoms) because a lot of biological phenomenons may be explained conformational changes (life use the "soft" chemistry beautifully). However some biological mechanisms still involve some chemical reactions, and to describe those using today's computing power some techniques were developed in order to mix molecular mechanics and semi-empirical methods. In order to observe a localized reaction, only a small subset of the system is solved using the semi-empirical method, the remaining is solved using molecular mechanics. This is what is presented in the article ... This technique (QM/MM : quantum mechanics / molecular mechanics) was described and used as soon as 1995 but its use increased during the last 3 years due to the availability of the mandatory computing power ( http://scholar.google.com/scholar?q=qmmm&hl=en&lr= &btnG=Search ). QMMM is not new, but its application field is widening ...

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    4. Re:How is this any different? by MoxFulder · · Score: 3, Informative

      Being able to solve physics problems analytically depends a lot on what "symmetry". It's kind of a misleading term... basically what we physicists mean by symmetry is that a system is unchanged by changing the value of some property. So a square cut down the middle is symmetric in that both halves have the same shape. As a result we can solve problems involving the square without worrying about which half we're dealing with.

      The "spherical cow" case is similar. A uniform-density sphere is great for ballistics problems because you can characterize it with only 2 parameters: its radius and its mass. If it's a realistic cow, it becomes a lot more complicated... its mass is distributed non-uniformly, and it's got a complicated shape (and it can move!!).

      The real art in physics is figuring out when you can use approximations! If a cow is orbiting the moon, it's probably an excellent approximation to treat it as a sphere in order to determine its orbit. But if a cow is dropped off a cliff, it's not such a good approximation... since its air resistance will depend a lot on its shape.

    5. Re:How is this any different? by wass · · Score: 5, Informative

      Well, physics is much more than freshman ballistics problems, but you're correct in that the complexity becomes significantly more difficult. Eg, in elementary quantum mechanics one can build a 'Hamiltonian' for any system, and usually you approximate things such as excluding the Coulomb force between every set of electrons, and that neutrons, electrons, and protons act as tiny magnets so they interact that way, and that there are spin-relational effcts, etc. Each of these adds terms to the Hamiltonian, but usually there's a convergence as the correction terms are smaller and smaller and can be neglected. Actually, that's why QED is so easy but QCD gets harder, because secondary and higher interactions in QED have decreasing significance but no so much in QCD where things diverge.

      So in some sense you know the basic 'laws' of the universe, and right now we have pretty reasonable understanding of most things, neglecting large scales (dark matter, dark energy) and large energies (Higgs boson, gravitons, etc). But for stuff within our local spheres of observation, we have basic laws that account for most things we can see, so we should theoretically be able to model anything in this frame. The problem is that it becomes super complex very quickly.

      Okay, so why there are so few solvable problems is mathematical. Eg, in the hydrogen atom, we can easily solve the differential equation that comes from the Schrodinger equation. Ie, you write the kinetic energy as T=p^2/2m, you write the potential energy as U=-e^2/r, giving a total energy of E=p^2/2m - e^2/r. You should recognize this as the standard kinetic energy written using momentum instead of velocity, and the Coulomb potential energy between the electron and proton. The system is an electron orbiting a proton, and in the center-of-mass units r is the distance between the two, and m is the reduced mass, which is fairly close to the electron. This is all well and good, and when put into the realm of quantum mechanics, r and p go from being canonical coordinates to being canonical operators. When put into the position basis, the p operator acts as a derivative of the r coordinate, and this yields a differential equation that must be solved to give the eigenstates of the solution. The system is spherically-symmetric which makes things much easier, and after solving the three-dimensional 2nd-order differential equations you get the solutions of atomic orbitals that you probably studied about in high-school chemistry class.

      Now this is the 'simple' system. When you start adding relativistic corrections to that kinetic energy and when you add the interaction of the electron's magnetic moment interacting with the magnetic field creating as it orbits the proton, this yields the fine structure. You can also add in the spin-spin interaction between the magnetic moment of the electron and the proton, which gives the hyperfine interaction. Each of these things makes the differential equations MUCH harder to solve, and at some point we just don't mathematically know how to solve these complex systems of equations. Helium atom gets much harder because there are now two position coordinates of each atom, and an extra Coulomb interaction term. This is a quantum three-body problem, and even in classical mechanics the three-body problem cannot be solved in general. Ie, there is no KNOWN exact solution for any three bodies.

      Anyway, you can see where this is going. But while we cannot know exact solutions, we can approximate them numerically to arbitrarily-small precision (at least with classical mechanics where there is no uncertainty principle). This is where the shiny computers come in. We can model easily how 10 bodies orbit around the sun AND interact with each other, but to get a general algebraic solution of them for any point in time, we cannot do.

      --

      make world, not war

  3. Uncertainty principle and medicine by Anonymous Coward · · Score: 5, Funny

    So, when I am seriously ill and get quantum biology based medication, will I be in a superposition state of 'getting better' and 'dead'?

  4. Doesn't work by Intron · · Score: 5, Funny

    I tried firing hundreds of cats through two narrow slits and I didn't get interference patterns.

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    Intron: the portion of DNA which expresses nothing useful.
    1. Re:Doesn't work by spun · · Score: 4, Funny

      Check your data and methodology. I've found that when the distance seperating the two slits is less than one cat-length, a single cat fired at the slits can interfere with itself, as evidenced by the distinctive banding in the blood spatters. Of course, if the slits are further than one cat-length apart, no interference patterns appear. Then all you get is a cat-ass-trophy.

      --
      - None can love freedom heartily, but good men; the rest love not freedom, but license. -- John Milton
  5. Very funny... by xENoLocO · · Score: 2, Funny

    Isn't this just a geeky way of saying "small anatomy" ?

    If that's the case, I invented this 26 years ago!

    --
    "The need to build the internet comes from something inside us, something programmed... something we can't resist."
  6. Re:Did someone say Quantum Biology? by JeanPaulBob · · Score: 3, Funny

    Just doesn't carry the same sex-appeal as Quantum Physics.

    Same-sex appeal? I didn't know quantum physicists were mostly gay...

  7. 1966 by Bowling+Moses · · Score: 2, Informative

    A quick search turned up an article from 1966 which suggests quantum tunneling in a protein, so the idea of quantum mechanics in biology isn't all that new (and probably predates the article). Disclaimer: I've only read the abstract, I don't do research in that area, those without a university hookup might not get to read it even if they really wanted to.

  8. Overhyped by AFairlyNormalPerson · · Score: 3, Interesting

    "This is the scientific study of biological processes in terms of quantum mechanics and it uses today's high-performance computers to precisely model these processes."

    Precisely modeling these processes? Biggest overstatement EVER. Total hype.
    When looking at large systems you are screwed and you can generally screw yourself in 1 of 2 ways:
    1) Preciesly model few configurations, in which case, your results are not comparable to reality, which is an ensamble average over billions of configurations
    2) Model things in an emprirical/semi-empirical, yet surprisingly CRUDE way: allowing one to sufficiently sample phase space, but not in an analytically useful way.

    Quantum mechanics in biological systems are typically done with QM/MM, where the "QM" is semi-EMPIRICAL, i.e., it takes parameters. These methods and parameters were NOT designed with biological systems in mind. They were chosen to reproduce small molecule heats of formation. People have found that they work poorly for biological studies unless they are reparametrized (quite frankly, you need to know "the answer" in order to get "the answer" "right") or unless other post-priori, ad hoc corrections are applied. Only a small portion of people who use QM/MM actually reparatrize the semiempirical method and those who do find the new parameters are not very transferable for use between different types of biological systems. For crying out loud, most semiempirical hamiltonians don't even provide the functional forms needed for some of the most basic molecular interactions, e.g., London dispersion, proper polarization to external fields, hydrogen bonding, orthogonalization errors in torsional barriers, etc..

    This stuff isn't really new and it's extremely overhyped.

    1. Re:Overhyped by the_psilo · · Score: 3, Informative

      This stuff isn't really new and it's extremely overhyped.

      I agree on the overhype. What the article fails to properly elucidate is that this is a common expansion of existing molecular modeling techniques. All modern molecular modeling simulations are based on equations of force and motion experienced by the individual atoms. Even with "simple" interactions such as electrostatics, the equations are often rendered into power series approximations of the more complicated higher order equations. This makes it easier to do computationally intensive calculations by dropping the latter parts of the power series. In addition, some forces just are not modeled. These decisions are based on the computational expense of evaluating each of the force equations. As computers get more powerful, more of these dropped factors can be added back into the set of field equations.

      Certainly there are difficulties in optimizing the mathematics to add new equations to the field set, as would be the case for modeling proton tunneling or sharing. A field that takes these factors into account is a great step forward. One of the biggest problems with modeling of biochemical systems is the lack of accurate accounting of hydrogen bond interactions. Some molecular fields are better than others, but most rely on a fudging of partial charge electrostatics by weighting interactions that have the features of a hydrogen bond (angle, distance, components). Hydrogen bonds are not easy to model, because they are a strange partial bond between covalent and ionic bonds.

      That the researchers of this linked article have begun to include factors that could account for more computationally intensive quantum mechanic evaluations in their molecular modeling field is an exciting step for biophysical computation. It is not, however, a groundbreaking combination of quantum physics and biology like the article and slashdot abstract/title suggest. These fields already lie within a shared spectrum, and the connections outlined in this article are not a novel discovery of connection, but a novel utility of an already established connection.

      aloha
      psilo
    2. Re:Overhyped by AFairlyNormalPerson · · Score: 2, Informative

      It's more accurate than what most people believe because they spend so much time jerking each other off.

      That's the big variational transistion state theory guy, right? Pay special attention to the details of how those potential energy surfaces are contructed - especially from the groups at that university. All of their QM/MM results match experiment almost perfectly (because after doing a QM/MM simulation they either "correct" the resulting "potential of mean force" curves or "correct" the effective PES obtained from simulation such the corrections cause the correct answer to be obtained.) In other cases, they parameterize the models until they get the answer that they wanted to get.

      Wanted to get X, but get Y. OK. Let Z=(X-Y) and call Z a correction. In most any context, it's called cheating, but for QM/MM, it's the norm.

  9. just quoting the article by kirils · · Score: 2, Insightful

    I think that "in terms of quantum mechanics" we do not have any "high-performance computers" yet.

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  10. Puhleease: Put Roland Piquepaille blog elsewhere by viking80 · · Score: 5, Insightful

    would like to just suggest a link to Roland Piquepailles blog somewhere where those who are interested can click. And *no more articles please*

    I read /. to get real news and facts, and see discussions from people with insight.
    Roland Piquepailles submissions has not met this criterium. At least filter away the combination "Piquepailles", "nano" and "quantum".

    Take a bottle of nano-beer (yes the water molecules are nano particles), eat some nano-pretzels (the baking soda produced a nano-gas that puffed them up), and run this script.

    Here is one of many greasemonkey script to remove piquepaille stories
    http://userscripts.org/scripts/show/5735/

    You should mod this up if you agree or mod away as flamebait/offtopic/troll if you dont agree, but at least mod it.

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  11. Re:Did someone say Quantum Biology? by metlin · · Score: 4, Funny

    Same-sex appeal? I didn't know quantum physicists were mostly gay...

    Oh, they are just not sure - nobody's opened the closet yet to find out. =)

  12. Re:I've always wondered about this by exp(pi*sqrt(163)) · · Score: 2, Insightful
    The theory that predicts the existence of "spooky action at a distance" is the same theory that predicts you can't use it to communicate - in the sense that there is no instantaneous transmission of usable information.

    But suppose there were some fancy physics that could form the basis for direct brain-to-brain communication. What would have happened during natural selection? If such a mechanism were available, surely it would have been selected for over speech. Speech requires years before users master it and is limited by the transmission of sound. If you could short circuit that then you'd have a considerable advantage. Telepaths would have wiped the floor with us normals millions of years ago.

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    Doesn't it make you feel good to know that our freedoms are protected by politicans, lawyers and journalists.
  13. Re:HOW IS THIS A TROLL?? by exp(pi*sqrt(163)) · · Score: 4, Informative
    I think many people really don't appreciate how difficult quantum simulations are. I was pretty surprised when I worked in pharmaceuticals for a bit and saw how much CPU time was being expended on fundamentally simple ball-and-stick simulations. (Ball-and-stick seemed to be standard terminology, even though it looks like a derogatory term.) I was also pretty shocked by how many tunable parameters there were - mainly because things like bonds were added ad hoc rather than emerging naturally from the simulation. Bonding is fundamentally a quantum phenomenon so it can never emerge from a classical simulation without being explicitly added as a kind of spring. And because bonding doesn't really make sense in a classical context, it actually behaves very differently from any kind of spring, and that's why you have to keep tuning the spring parameters to make things look reasonable.

    But when I realised how hard quantum simulations could be it started seeming reasonable again. Quantum simulations aren't just an order of magnitude more difficult. The order of magnitude of difficulty can itself be an order of magnitude bigger!

    --
    Doesn't it make you feel good to know that our freedoms are protected by politicans, lawyers and journalists.
  14. Re:Did someone say Quantum Biology? by JabberWokky · · Score: 2, Interesting
    As a quantum chemist, my wife (and all associates) tend to prefer the term "quantum mechanics" rather than "quantum physics". I've noticed that seems to be the term used in papers anyway.

    .

    I also wonder how this is at all new... she models inter-molecular protein reactions using high speed computers and the field has been doing so for quite awhile. The code is in Fortran77, as that seems to be the popular language for such research. It's not that it's not an interesting field, it's just not really a "nascent field" (at least as described by the term "using powerful computer models to reveal biological mechanisms"). news.rpi.edu, alas, appears to be suffering right now, and nobody has posted a mirror.

    --
    Evan

    --
    "$30 for the One True Ring. $10 each additional ring!" -- JRR "Bob" Tolkien
  15. Re:Did someone say Quantum Biology? by Anonymous Coward · · Score: 2, Funny

    If someone opened the closet to observe the physicists' sexuality, would that observation change the outcome?

  16. Schrodengers Closet? by Lord+Prox · · Score: 3, Funny

    If someone opened the closet to observe the physicists' sexuality, would that observation change the outcome?

    No, it will not change the outcome. While the biologist is still in the closet unobserved they are both straight and gay at the same time. Note: this is different than bi, this is poly-phasic probabilistic sexuality. Only when the biologist is dragged out of the closet and observed will the quantum wave function collapse into a determined outcome.

    This also begs for a joke about "entanglement" that I am going to pass on.