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Solutions Manual for Biomolecular Thermodynamics: From Theory to Application 1st Edition by Douglas Barrick | Complete Answer Key

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Master the physical chemistry of biological systems with the complete Solutions Manual for Biomolecular Thermodynamics: From Theory to Application, 1st Edition by Douglas Barrick. This essential guide provides detailed, step-by-step solutions to all problems in the textbook, making it an indispensable resource for advanced undergraduate and graduate students in biochemistry, biophysics, and molecular biology. Dive deep into every core concept with clearly explained answers covering: Fundamental Principles: Probability theory, combinatorial analysis, and statistical distributions (Chapters 1 & 2). Classical Thermodynamics: The first and second laws, work, heat, entropy, and free energy in biochemical contexts (Chapters 3-5). Solution Thermodynamics: Chemical potentials, ideal and non-ideal solutions, activity, and osmotic pressure (Chapter 6). Macromolecular Equilibria: Ligand binding, linkage equations, cooperative binding models (Chapters 7, 13, & 14). Protein Folding & Stability: The helix-coil transition, folding free energy, thermal denaturation, and two-state vs. multi-state models (Chapters 8, 9, & 12). Statistical Mechanics: Partition functions, ensemble theory, and their application to biological systems (Chapters 10 & 11). Perfect for courses in biophysical chemistry, this solutions manual helps you verify your work, understand complex derivations, and prepare for exams with confidence. Get the answers you need to master the thermodynamics of proteins, nucleic acids, and other biomolecules.

Meer zien Lees minder
Instelling
Biomolecular Thermodynamics
Vak
Biomolecular Thermodynamics

Voorbeeld van de inhoud

Solutions Manual for
g g g




Biomolecular Therm g




odynamics, From Theg g




ory to Application, 1e
g g g g




Douglas Barrick (All
g g g




Chapters)

,Solution Manual g




CHAPTER 1 g



1.1 UsinggthegsamegVenngdiagramgforgillustration,gwegwantgthegprobabilitygofgo
utcomesgfromgthegtwogeventsgthatgleadgtogthegcross-
hatchedgareagshowngbelow:




A1 A1g ngB2 B2


ThisgrepresentsggettinggAgingeventg1gandgnotgBgingeventg2,gplusgnotggettinggA
ingeventg1gbutggettinggBgingeventg2g(thesegtwogaregthegcommong“orgbutgnotgboth
”gcombinationgcalculatedgingProblemg1.2)gplusggettinggAgingeventg1gandgBgingeven
tg2.

1.2 Firstgthegformulagwillgbegderivedgusinggequations,gandgthengVenngdiagramsg wil
lgbegcomparedgwithgthegstepsgingthegequation.gIngtermsgofgformulasgandgproba
bilities,gtheregaregtwogwaysgthatgthegdesiredgpairgofgoutcomesgcangcomegabout
.gOnegwaygisgthatgwegcouldggetgAgongthegfirstgeventgandgnotgBgongthe
secondg(gA1g∩g(∼B2g)).gThegprobabilitygofgthisgisgtakengasgthegsimplegproduct,gsinceg
eventsg1gandg2garegindependent:

pA1g∩g(∼B2g)g =g pAg×gp∼B
=g pAg×(1−gpBg (A.1.1)
)
=g pAg−gpApB


ThegsecondgwaygisgthatgwegcouldgnotggetgAgongthegfirstgeventgandgwegcouldgget
Bgongthegsecondg((∼gA1)g∩gB2g)g,gwithgprobability

p(∼A1)g∩g B2g =g p∼Ag×gpB
=g(1−gpAg)×gp (A.1.2)
B

=g pBg−gpApB

,2 SOLUTIONg MANUAL


Sincegeithergonegwillgwork,gwegwantgthegorgcombination.gBecausegthegtwogwaysga
regmutuallygexclusiveg(havinggbothgwouldgmeangbothgAgandg∼Agingthegfirstgoutco
me,gandgwithgequalgimpossibility,gbothgBgandg∼B),gthisgorgcombinationgisgequalgto
gtheguniong{gA1g∩g(∼B2g)}g∪g{(∼gA1)g∩gB2},gandgitsgprobabilitygisgsimplygthegsumgofgthegp

robabilitygofgthegtwogseparategwaysgaboveg(EquationsgA.1.1gandgA.1.2):

p{A1g∩g(∼B2g)}g∪g{(~A1)g∩gB2}g =g pA1g∩g(∼B2g)g +gp(∼A1)g∩gB2
=g pAg−gpApBg+gpBg−gpApB
=gpAg+gpBg−g2pApB

ThegconnectiongtogVenngdiagramsgisgshowngbelow.gIngthisgexercisegwegwillgworkgb
ackwardgfromgthegcombinationgofgoutcomesgwegseekgtogthegindividualgoutcomes.gT
hegprobabilitygwegaregaftergisgforgthegcross-hatchedgareagbelow.
{gA1g∩g(∼B2g)}g∪g{(∼gA1)g∩gB2g}




A1 B2


Asgindicated,gthegcirclesgcorrespondgtoggettinggthegoutcomegAgingeventg1g(left)ga
ndgoutcomegBgingeventg2.gEvengthoughgthegeventsgaregidentical,gthegVenngdiagra
mgisgconstructedgsogthatgtheregisgsomegoverlapgbetweengthesegtwog(whichgwegdo
n’tgwantgtogincludegingourg“orgbutgnotgboth”gcombination.gAsgdescribedgabove,gth
egtwogcross-
hatchedgareasgabovegdon’tgoverlap,gthusgthegprobabilitygofgtheirguniongisgthegsim
plegsumgofgthegtwogseparategareasggivengbelow.


A1gng~B2
~gA1g ngB2

pAg×gp~B
p ~A ×gpB
=gpAg(1g–gpB)
=g(1g–gAg
pg g)pB

A1gng~B2 ~gA1g ngB2



Addinggthesegtwogprobabilitiesggivesgthegfullg“orgbutgnotgboth”gexpressiongabo
ve.gThegonlygthinggremaininggisgtogshowgthatgthegprobabilitygofgeachgofgthegcr
escentsgisgequalgtogthegproductgofgthegprobabilitiesgasgshowngingthegtopgdiagra
m.gThisgwillgonlygbegdonegforgonegofgthegtwogcrescents,gsincegthegothergfollow
sgingangexactlyganalogousgway.gFocusinggongtheggraygcrescentgabove,git
representsgthegAgoutcomesgofgeventg1gandgnotgthegBgoutcomesgingeventg2.gEachgo
fgthesegoutcomesgisgshowngbelow:

Eventg 1 Eventg 2


A1 ~B

p~Bg=g1g–gpB
pA



A1 ~B2

, SOLUTIONg MANUAL 3


BecausegEventg1gandgEventg2garegindependent,gtheg“and”gcombinationgofgthes
egtwogoutcomesgisggivengbygthegintersection,gandgthegprobabilitygofgthe
intersectiongisggivengbygthegproductgofgthegtwogseparategprobabilities,gleadinggtog
thegexpressionsgforgprobabilitiesgforgtheggraygcross-hatchedgcrescent.

(a) Thesegaregtwogindependentgelementarygeventsgeachgwithgangoutcomegpro
babilitygofg0.5.gWegaregaskedgforgthegprobabilitygofgthegsequencegH1gT2,gwhi
chgrequiresgmultiplicationgofgthegelementarygprobabilities:

p HH g =gH1g∩gT2g=gpHg×gp =g1gg ×
g g1
gg=
g1

T
1g 2 1 2
2g g 2 4

Wegcangarrangegthisgprobability,galonggwithgthegprobabilitygforgthegothergthre
egpossiblegsequences,gingagtable:


Tossg1

Tossg2 Hg(0.5) Tg(0.5)

Hg(0.5) H1H2 T1H2
(0.25) (0.25)

Tg(0.5) H1T2 T1T2
(0.25) (0.25)

Note:gProbabilitiesgareggivengingparentheses.

Thegprobabilitygofggettinggagheadgongthegfirstgtossgorgagtailgongthegsecondgtoss
,gbutgnotgboth,gis

pH1gorgH2g =g pH1g +gpH2g −g2(gpH1g×gpH2g)
1 g1 g1g g1 ı
= +g −g2 ×g ı
g
2 2 2 g g 2j

g1
=g g
2

Ingthegtablegabove,gthisgcombinationgcorrespondsgtogthegsumgofgthegtwogoff-
gdiagonalgelementsg(thegH1T2gandgthegT1H2gboxes).


(b) Thisgisgtheg"and"gcombinationgforgindependentgevents,gsogwegmultiplygtheg
elementarygprobabilitygpHgforgeachgofgNgtosses:

pH1H2H3…HNg =gpH1g×gpH2g×gpH3g×⋯×gpHN
N
=g gg1ı
g2ıj



Thisgisgbothgagpermutationgandgagcompositiong(theregisgonlygonegpermutat
iongforgall-
heads).gAndgnotegthatgsincegbothgoutcomesghavegequalgprobabilityg(0.5),gth
isggivesgthegprobabilitygofganygpermutationgofganygnumbergNHgofgheadsgwithg
anygnumbergNg−gNHgofgtails.

1.3 Twogdifferentgapproachesgwillgbeggivengforgthisgproblem.gOnegisgangapproxim
ationgthatgisgverygclosegtogbeinggcorrect.gThegsecondgisgexact.gBygcomparinggt
hegresults,gthegreasonablenessgofgthegfirstgapproximationgcangbegexamined.

Whichevergapproachgwegusegtogsolvegthisgproblem,gwegbegingbygrepresentinggth
egprobabilitygthatgyougknowgagrandomlygselectedgpersongfromgthegpopulation.
Thisgisgpkg=g2000/300,000,000g=g2/300,000g=g6.67g×g10−6.gTogavoidgdealinggwi
thg"or"gcombinations,gwegcanggreatlygsimplifygthegproblemgbygcalculatinggthegpr
obabilitygthatgyougdogNOTgknowganyonegongthegplane,gandgthengrecognizegthat
gonegminusgthisgprobability grepresents gall gthe gwaysgyougcould gknowgat

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Instelling
Biomolecular Thermodynamics
Vak
Biomolecular Thermodynamics

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