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basics of computation of physical and
chemical data and structure descriptors
Dr.Gurumeet C Wadhawa
Karmaveer Bhaurao Patil College,Vashi
Roberto Todeschini
Milano Chemometrics and QSAR Research Group
Molecular descriptors
An introduction
Prof. Roberto Todeschini
Dr. Davide Ballabio
Dr. Viviana Consonni
Dr. Alberto Manganaro
Dr. Andrea Mauri
The chemical data
 syntthesiis: chemistry produces the
objetcs of its own study
 chemical composiit
tiion:
: a uniif
fyiing concept
t
for all the experimental sciences
 mollecullarr sttrructture::one tthe mostt ffrruiittffull
scientific concepts of this century
Molecular structure
The concept of molecular structure is one of the
most reach of this century.
Molecular structure
The basic assumptions are that different
molecular structures have different chemical
properties and similar molecular structures have
similar molecular properties.
Molecular structure
Each molecular representation represents a
different way to look at the molecular structure
and its chemical meaning is strongly immersed in
the framework of the chemical theories.
Some historical notes
“... : benchè certamente si traveggano già dei rapporti fra la
costituzione chimica (composizione e struttura) e le proprietà
fisiche loro, è ancor certamente di gran lunga troppo ristretto
il numero dei fatti, per dedurne delle conseguenze, che oltre
al carattere d’una semplice ipotesi possono pretendere
anche quello della probabilità.
In ogni caso tali rapporti non sono di natura tanto semplice
come a priori forse era lecito aspettarsi.
Di certo le proprietà fisiche dei corpi sono in primo luogo una
funzione della composizione e struttura loro, sulla di cui
forma nulla ancora si sa; funzione probabilmente molto
complessa e per il di cui studio occorrerà un imprevedibile
numero di fatti, onde poter sufficientemente restringere la
cerchia delle rappresentazioni possibili.”
Some historical notes
Some historical notes
Studi sull’isomeria delle così dette sostanze aromatiche
a sei atomi di carbonio.
Gazzetta Chimica Italiana, vol. IV, p.305
1874
Wilhelm KÖRNER
Molecular descriptors
Definition of molecular descriptor
“The molecular descriptor is the final result of a logic
and mathematical procedure which transforms
chemical information encoded within a symbolic
representation of a molecule into a useful number or
the result of some standardized experiment.”
R. Todeschini and V. Consonni
Molecular descriptors
 3300 molecular descriptors
Molecular descriptors
unicorn
bull body
dragon head
scorpion tail
snake neck
lion forefeet
eagle hind legs
Molecular descriptors
symmetry
electronic aspects
branching
H - bonding
steric
hydrophobicity
size shape
reactivity
cyclicity
Molecular descriptors
several
meanings in just
one number
symmetry
electronic aspects
branching
H - bonding
steric
hydrophobicity
size shape
reactivity
cyclicity
“Molecular Descriptors for Chemoinformatics”
Roberto Todeschini and Viviana Consonni
Wiley-VCH
2 volumes
• 6400 bibliographic references
• 1300 pages
• 3000 entries
• 7000 cited authors
• unknown number of formulas
In press
Molecular descriptors
graph theory discrete mathematics physical chemistry
information theory quantum chemistry organic chemistry
differential topology algebraic topology
derived from ….
QSAR/QSPR medicinal chemistry pharmacology genomics
drug design toxicology proteomics analytical chemistry
environmetrics virtual screening library searching
applied in ….
statistics
chemometrics
chemoinformatics
processed by ….
Molecular descriptors
Molecular descriptors
molecule
physico - chemical
properties

biological
activities

molecular
descriptors

The role of the molecular descriptors
Physico-chemical properties
boiling point
melting point
dipole moment
molar refractivity
parachor
octanol/water partition coefficient
vapor pressure
density
solubility
.............................
The role of the molecular descriptors
Biological activities
binding affinity
lethal dose
inhibition concentration
mutagenicity
carcinogenicity
antiinflammatory activity
antidepressant activity
skin sensitization
................
The role of the molecular descriptors
Environmental properties
biodegradation
bioconcentration
BOD
COD
half - life time
mobility
atmospheric persistance
.........................
.... and more
The role of the molecular descriptors
conductivity
retention time
glass transition temperature
reological behaviours
.........................
Representations of a molecular structure
a real object
molecule

molecular structure
representation
molecular
descriptors
numbers
Representations of a molecular structure
Representations of a molecular structure
3D - geeomeettrriiccall
0D - ccounts
Cl Cl
H Cl Cl
H
H
H
H
H
2D - ttopoccheemiiccall
2D - ttopossttrrucctturrall
·C
·C
·C
·C
C
.l C
.l
·
C
·
·C ·C
C
·C
·C
C l C l
.
H
·C
.
H.
H
.H
·C
. . .H
.H
1D – f
fr
ragme
ent
tc
count
ts
s
. .
. .
·C
·C
·C
·C
·C
·C
·C
·C
C l C l
H
.
H
·C
.H
C
.l C
.l
.H
·C
·C
·C
. H
H
Representations of a molecular structure
probes interaction energy value
at each point
for each probe
• steric
• electronic
• hydrophobic 4D
Properties of a molecular descriptor
Several scientists are involved in searching for new
molecular descriptors able to catch new aspects of
the molecular structure. This kind of reasearch
involves creativity and imagination together with
solid theoretical basis allowing to obtain numbers
with some structural chemical meaning.
"There are no restriction on the design of structural
invariants, the limiting factor is one's own
imagination." [1].
M. Randic (1996), Molecular bonding profiles, J. Math. Chem., 19, 375-392
Properties of a molecular descriptor
a descriptor MUST have ...
 invariance with respect to labeling and
numbering of atoms
 iinvarriiance wiitth rrespecttto rrotto--ttrransllattiion
 an unambiguous algorithmically computable
definition
 values in a suitable numerical range for the
set of molecules where it is applicable to
Properties of a molecular descriptor
a descriptor should have ...
 a structural interpretation
 a good correlation with at least one property
 no trivial correlation with other molecular descriptors
 gradual change in its values with gradual changes in the
molecular structure
 not including in the definition experimental properties
 not restricted to a too small class of molecular structures
 preferably, some discrimination power among isomers
 preferably, not trivially including in the definition other
molecular descriptors
 preferably, allowing reversible decoding (back from the
descriptor value to the structure)
Molecular descriptors
... some more details about
molecular descriptors
Molecular graph
1 2 3 4
5 6
7
Molecular graph
Mathematical object defined as
G = (V, E)
set V
set E
vertices
edges
atoms
bonds
1 2 3 4
5 6
7
Topological matrices
Adjacency matrix
Derived from a molecular graph, it represents the
whole set of connections between adjacent pairs of
atoms.
1 if atom i and j are bonded
aij =
0 otherwise
Distance matrix
1 2 3 4
5 6
vertex distance matrix degree
si It is the row sum of the vertex distance matrix
1 2 3 4 5 6 7
1 0 1 2 3 2 3 2 13 3
2 1 0 1 2 1 2 1 8 2
3 2 1 0 1 2 1 2 9 2
4 3 2 1 0 3 2 3 14 3
5 2 1 2 3 0 3 2 13 3
6 3 2 1 2 3 0 3 14 3
7 2 1 2 3 2 3 0 13 3
si i
7
The distance dij between two
vertices is the smallest number
of edges between them.
si is high for terminal vertices and low for central vertices
Strategies for molecular descriptors
From local vertex invariants you can:
     
   
     
   
1 2
3
6
7
A A A
i j
A
A A
i j
A A
i j ij
ij


i1 i1 j1


i1 j1

j  i
 

 i1 
;m  k 
 
i, jA  i j 
 i 
 ij
i1 j1

1. D k;  k  L 2. D k;  k  L L
3. D k;  k  a  L L 4. D 4 k; k Li 
5. D5 k k maxiA Li  6. D k; L L  d ;m
7. D k;;m k max L L  d ;m
Strategies for molecular descriptors
Molecular matrices from molecular topology:
- adjacency, distance, detour, Laplace, ...
Functions of the basic molecular matrices:
reciprocal, combined, extended,
complementary, weighted, layered, ....
... more than 100!
Strategies for molecular descriptors
From molecular matrices you can:
1 2
1 1
2 2
ij
m
i1 j1 i1 j1
aij mij
A A

A A

1. D   2. D  
3. D 3 k k detΜ 4. D4 Sp  f Spectrum
Strategies for molecular descriptors
From the spectrum eigenvalues of a matrix:
   
n k k
k k k
i i i
n
n n
 
   
i1 i1
i1 i1
 
 
i1
SpSumk
M,w   SpSum M,w  SpSum M,w 
n
SpADM,w  i   SpMADM,w  i   /n
MaxSpM,w maxi i
MinSpM,w mini i
MaxSpAM,w maxi i  SpDiamM,w MaxSp - MinSp
Strategies for molecular descriptors
3D atom coordinates and geometry matrix:
x1 y1 z1 0 r12 … r1A
M 
x2
…
y2
…
z2
…
G 
r21
…
0
…
…
…
r2A
…
xA yA zA rA1 rA2 … 0
... a lot of new local invariants and 3D molecular
descriptors are derived !
Atom list Substructure list
graph invariants
topostructural
descriptors
topographic
descriptors
topochemical
descriptors
topological information indices
molecular graph
2D
0D
counting summing
1D
interaction energy
values
grid-based QSAR
techniques
4D
geometrical
descriptors
bulk descriptors
counting structural keys
molecular geometry
x, y, z coordinates
3D
quantum-chemical
descriptors
molecular surface
descriptors
molecular geometry
x, y, z coordinates
topographic
descriptors
graph invariants
topostructural
descriptors
topochemical
descriptors
molecular graph
Wiener index, Hosoya Z index
Zagreb indices, Mohar indices
Randic connectivity index
Balaban distance connectivity index
Schultz molecular topological index
Kier shape descriptors
eigenvalues of the adjacency matrix
eigenvalues of the distance matrix
Kirchhoff number
detour index
topological charge indices
...............
total information content on .....
mean information content on .....
Kier-Hall valence connectivity indices
Burden eigenvalues
BCUT descriptors
Kier alpha-modified shape descriptors
2D autocorrelation descriptors
...............
3D-Wiener index
3D-Balaban index
D/D index
...............
topological information indices
geometrical
descriptors
interaction energy
values
grid-based QSAR
techniques
quantum-chemical
descriptors
gravitational indices
3D-Morse descriptors
EVA descriptors
EEVA descriptors
WHIM descriptors
GETAWAY descriptors
..............
CoMFA, GRID
G-WHIM descriptors
............
van der Waals volume
geometric volume
...........
charges
electronegativities
superdelocalizability
hardness
softness
ELUMO
EHOMO
..............
solvent-accessible surface area
CPSA descriptors
molecular shape analysis
Mezey 3D shape analysis
...........
molecular surface
volume
descriptors
molecular geometry
x, y, z coordinates
QSAR strategy
models ...
 regression models (quantitative response)
 classification models (qualitative response)
 ranking models (ordered response)
QSAR strategy - Regression
QSAR strategy - Classification
QSAR strategy - Ranking
Toxicity
1
2
3
4
5
6
7
8 9
10
11
12
13
14
15
16
17
18
19
20
21
QSAR strategy
experimental
responses
molecular
descriptors
SRC (QSAR, QSPR, ... )
fitting
molecular
descriptors
new
molecules
reversible decoding
molecular
descriptors
training set
set of
molecules
MODEL
prediction
power
experimental
responses
test set
predicted new
responses
QSAR strategy
The true interest is in
predictive power of the model
Model validation
Chemometrics
FAQ - Frequently Asked Questions
1. What is the meaning of that descriptor ?
2. Why are there some models with the same prediction
power but different molecular descriptors ?
3. Why use a huge number of molecular descriptors ?
4. Is a model explaining the known facts of a system
better than a model predicting the future events of
that system ?
FGA - our Frequently Given Answers
1. What is the meaning of that descriptor ?
A molecular descriptor is a number extracted by a well
defined algorithm from a molecular representation of a
complex system, i.e. the molecule. There are good reasons
to believe that often our difficulties to attribute a meaning to
this number ultimately flow from the lacking of deeper
chemical theories and higher level languages and not from
exoteric approaches to the descriptor definition.
R. Todeschini and V. Consonni
FGA - our Frequently Given Answers
2. Why are there some models with the same prediction
power but different molecular descriptors ?
Molecular descriptors are often intercorrelated, therefore
different molecular descriptors can, in turn, take part in a
model.
Any alternative viewpoint with a different emphasis
leads to an inequivalent description. There is only one
reality but there are many points of view.
Hans Primas
FGA - our Frequently Given Answers
3. Why use a huge number of molecular descriptors ?
Complexity is not an intrinsic property of systems, but
rather arises from the number of ways in which we are
able (or desire) to interact with a system.
A molecule is undoubtedly a complex system
FGA - our Frequently Given Answers
4. Is a model explaining the known facts of a system
better than a model predicting the future events of that
system ?
Don’t forget your goal!
An understanding of the behavior of a system does not
always coincide with the prediction of the system’s future
behavior!
fitting versus prediction

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des.pptx

  • 1. basics of computation of physical and chemical data and structure descriptors Dr.Gurumeet C Wadhawa Karmaveer Bhaurao Patil College,Vashi
  • 2. Roberto Todeschini Milano Chemometrics and QSAR Research Group Molecular descriptors An introduction Prof. Roberto Todeschini Dr. Davide Ballabio Dr. Viviana Consonni Dr. Alberto Manganaro Dr. Andrea Mauri
  • 3. The chemical data  syntthesiis: chemistry produces the objetcs of its own study  chemical composiit tiion: : a uniif fyiing concept t for all the experimental sciences  mollecullarr sttrructture::one tthe mostt ffrruiittffull scientific concepts of this century
  • 4. Molecular structure The concept of molecular structure is one of the most reach of this century.
  • 5. Molecular structure The basic assumptions are that different molecular structures have different chemical properties and similar molecular structures have similar molecular properties.
  • 6. Molecular structure Each molecular representation represents a different way to look at the molecular structure and its chemical meaning is strongly immersed in the framework of the chemical theories.
  • 7. Some historical notes “... : benchè certamente si traveggano già dei rapporti fra la costituzione chimica (composizione e struttura) e le proprietà fisiche loro, è ancor certamente di gran lunga troppo ristretto il numero dei fatti, per dedurne delle conseguenze, che oltre al carattere d’una semplice ipotesi possono pretendere anche quello della probabilità. In ogni caso tali rapporti non sono di natura tanto semplice come a priori forse era lecito aspettarsi. Di certo le proprietà fisiche dei corpi sono in primo luogo una funzione della composizione e struttura loro, sulla di cui forma nulla ancora si sa; funzione probabilmente molto complessa e per il di cui studio occorrerà un imprevedibile numero di fatti, onde poter sufficientemente restringere la cerchia delle rappresentazioni possibili.”
  • 9. Some historical notes Studi sull’isomeria delle così dette sostanze aromatiche a sei atomi di carbonio. Gazzetta Chimica Italiana, vol. IV, p.305 1874 Wilhelm KÖRNER
  • 10. Molecular descriptors Definition of molecular descriptor “The molecular descriptor is the final result of a logic and mathematical procedure which transforms chemical information encoded within a symbolic representation of a molecule into a useful number or the result of some standardized experiment.” R. Todeschini and V. Consonni
  • 11. Molecular descriptors  3300 molecular descriptors
  • 12. Molecular descriptors unicorn bull body dragon head scorpion tail snake neck lion forefeet eagle hind legs
  • 13. Molecular descriptors symmetry electronic aspects branching H - bonding steric hydrophobicity size shape reactivity cyclicity
  • 14. Molecular descriptors several meanings in just one number symmetry electronic aspects branching H - bonding steric hydrophobicity size shape reactivity cyclicity
  • 15. “Molecular Descriptors for Chemoinformatics” Roberto Todeschini and Viviana Consonni Wiley-VCH 2 volumes • 6400 bibliographic references • 1300 pages • 3000 entries • 7000 cited authors • unknown number of formulas In press
  • 16. Molecular descriptors graph theory discrete mathematics physical chemistry information theory quantum chemistry organic chemistry differential topology algebraic topology derived from …. QSAR/QSPR medicinal chemistry pharmacology genomics drug design toxicology proteomics analytical chemistry environmetrics virtual screening library searching applied in …. statistics chemometrics chemoinformatics processed by …. Molecular descriptors
  • 17. Molecular descriptors molecule physico - chemical properties  biological activities  molecular descriptors 
  • 18. The role of the molecular descriptors Physico-chemical properties boiling point melting point dipole moment molar refractivity parachor octanol/water partition coefficient vapor pressure density solubility .............................
  • 19. The role of the molecular descriptors Biological activities binding affinity lethal dose inhibition concentration mutagenicity carcinogenicity antiinflammatory activity antidepressant activity skin sensitization ................
  • 20. The role of the molecular descriptors Environmental properties biodegradation bioconcentration BOD COD half - life time mobility atmospheric persistance .........................
  • 21. .... and more The role of the molecular descriptors conductivity retention time glass transition temperature reological behaviours .........................
  • 22. Representations of a molecular structure a real object molecule  molecular structure representation molecular descriptors numbers
  • 23. Representations of a molecular structure
  • 24. Representations of a molecular structure 3D - geeomeettrriiccall 0D - ccounts Cl Cl H Cl Cl H H H H H 2D - ttopoccheemiiccall 2D - ttopossttrrucctturrall ·C ·C ·C ·C C .l C .l · C · ·C ·C C ·C ·C C l C l . H ·C . H. H .H ·C . . .H .H 1D – f fr ragme ent tc count ts s . . . . ·C ·C ·C ·C ·C ·C ·C ·C C l C l H . H ·C .H C .l C .l .H ·C ·C ·C . H H
  • 25. Representations of a molecular structure probes interaction energy value at each point for each probe • steric • electronic • hydrophobic 4D
  • 26. Properties of a molecular descriptor Several scientists are involved in searching for new molecular descriptors able to catch new aspects of the molecular structure. This kind of reasearch involves creativity and imagination together with solid theoretical basis allowing to obtain numbers with some structural chemical meaning. "There are no restriction on the design of structural invariants, the limiting factor is one's own imagination." [1]. M. Randic (1996), Molecular bonding profiles, J. Math. Chem., 19, 375-392
  • 27. Properties of a molecular descriptor a descriptor MUST have ...  invariance with respect to labeling and numbering of atoms  iinvarriiance wiitth rrespecttto rrotto--ttrransllattiion  an unambiguous algorithmically computable definition  values in a suitable numerical range for the set of molecules where it is applicable to
  • 28. Properties of a molecular descriptor a descriptor should have ...  a structural interpretation  a good correlation with at least one property  no trivial correlation with other molecular descriptors  gradual change in its values with gradual changes in the molecular structure  not including in the definition experimental properties  not restricted to a too small class of molecular structures  preferably, some discrimination power among isomers  preferably, not trivially including in the definition other molecular descriptors  preferably, allowing reversible decoding (back from the descriptor value to the structure)
  • 29. Molecular descriptors ... some more details about molecular descriptors
  • 30. Molecular graph 1 2 3 4 5 6 7
  • 31. Molecular graph Mathematical object defined as G = (V, E) set V set E vertices edges atoms bonds 1 2 3 4 5 6 7
  • 32. Topological matrices Adjacency matrix Derived from a molecular graph, it represents the whole set of connections between adjacent pairs of atoms. 1 if atom i and j are bonded aij = 0 otherwise
  • 33.
  • 34. Distance matrix 1 2 3 4 5 6 vertex distance matrix degree si It is the row sum of the vertex distance matrix 1 2 3 4 5 6 7 1 0 1 2 3 2 3 2 13 3 2 1 0 1 2 1 2 1 8 2 3 2 1 0 1 2 1 2 9 2 4 3 2 1 0 3 2 3 14 3 5 2 1 2 3 0 3 2 13 3 6 3 2 1 2 3 0 3 14 3 7 2 1 2 3 2 3 0 13 3 si i 7 The distance dij between two vertices is the smallest number of edges between them. si is high for terminal vertices and low for central vertices
  • 35. Strategies for molecular descriptors From local vertex invariants you can:                     1 2 3 6 7 A A A i j A A A i j A A i j ij ij   i1 i1 j1   i1 j1  j  i     i1  ;m  k    i, jA  i j   i   ij i1 j1  1. D k;  k  L 2. D k;  k  L L 3. D k;  k  a  L L 4. D 4 k; k Li  5. D5 k k maxiA Li  6. D k; L L  d ;m 7. D k;;m k max L L  d ;m
  • 36. Strategies for molecular descriptors Molecular matrices from molecular topology: - adjacency, distance, detour, Laplace, ... Functions of the basic molecular matrices: reciprocal, combined, extended, complementary, weighted, layered, .... ... more than 100!
  • 37. Strategies for molecular descriptors From molecular matrices you can: 1 2 1 1 2 2 ij m i1 j1 i1 j1 aij mij A A  A A  1. D   2. D   3. D 3 k k detΜ 4. D4 Sp  f Spectrum
  • 38. Strategies for molecular descriptors From the spectrum eigenvalues of a matrix:     n k k k k k i i i n n n       i1 i1 i1 i1     i1 SpSumk M,w   SpSum M,w  SpSum M,w  n SpADM,w  i   SpMADM,w  i   /n MaxSpM,w maxi i MinSpM,w mini i MaxSpAM,w maxi i  SpDiamM,w MaxSp - MinSp
  • 39. Strategies for molecular descriptors 3D atom coordinates and geometry matrix: x1 y1 z1 0 r12 … r1A M  x2 … y2 … z2 … G  r21 … 0 … … … r2A … xA yA zA rA1 rA2 … 0 ... a lot of new local invariants and 3D molecular descriptors are derived !
  • 40. Atom list Substructure list graph invariants topostructural descriptors topographic descriptors topochemical descriptors topological information indices molecular graph 2D 0D counting summing 1D interaction energy values grid-based QSAR techniques 4D geometrical descriptors bulk descriptors counting structural keys molecular geometry x, y, z coordinates 3D quantum-chemical descriptors molecular surface descriptors
  • 41. molecular geometry x, y, z coordinates topographic descriptors graph invariants topostructural descriptors topochemical descriptors molecular graph Wiener index, Hosoya Z index Zagreb indices, Mohar indices Randic connectivity index Balaban distance connectivity index Schultz molecular topological index Kier shape descriptors eigenvalues of the adjacency matrix eigenvalues of the distance matrix Kirchhoff number detour index topological charge indices ............... total information content on ..... mean information content on ..... Kier-Hall valence connectivity indices Burden eigenvalues BCUT descriptors Kier alpha-modified shape descriptors 2D autocorrelation descriptors ............... 3D-Wiener index 3D-Balaban index D/D index ............... topological information indices
  • 42. geometrical descriptors interaction energy values grid-based QSAR techniques quantum-chemical descriptors gravitational indices 3D-Morse descriptors EVA descriptors EEVA descriptors WHIM descriptors GETAWAY descriptors .............. CoMFA, GRID G-WHIM descriptors ............ van der Waals volume geometric volume ........... charges electronegativities superdelocalizability hardness softness ELUMO EHOMO .............. solvent-accessible surface area CPSA descriptors molecular shape analysis Mezey 3D shape analysis ........... molecular surface volume descriptors molecular geometry x, y, z coordinates
  • 43. QSAR strategy models ...  regression models (quantitative response)  classification models (qualitative response)  ranking models (ordered response)
  • 44. QSAR strategy - Regression
  • 45. QSAR strategy - Classification
  • 46. QSAR strategy - Ranking Toxicity 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
  • 47. QSAR strategy experimental responses molecular descriptors SRC (QSAR, QSPR, ... ) fitting molecular descriptors new molecules reversible decoding molecular descriptors training set set of molecules MODEL prediction power experimental responses test set predicted new responses
  • 48. QSAR strategy The true interest is in predictive power of the model Model validation Chemometrics
  • 49. FAQ - Frequently Asked Questions 1. What is the meaning of that descriptor ? 2. Why are there some models with the same prediction power but different molecular descriptors ? 3. Why use a huge number of molecular descriptors ? 4. Is a model explaining the known facts of a system better than a model predicting the future events of that system ?
  • 50. FGA - our Frequently Given Answers 1. What is the meaning of that descriptor ? A molecular descriptor is a number extracted by a well defined algorithm from a molecular representation of a complex system, i.e. the molecule. There are good reasons to believe that often our difficulties to attribute a meaning to this number ultimately flow from the lacking of deeper chemical theories and higher level languages and not from exoteric approaches to the descriptor definition. R. Todeschini and V. Consonni
  • 51. FGA - our Frequently Given Answers 2. Why are there some models with the same prediction power but different molecular descriptors ? Molecular descriptors are often intercorrelated, therefore different molecular descriptors can, in turn, take part in a model. Any alternative viewpoint with a different emphasis leads to an inequivalent description. There is only one reality but there are many points of view. Hans Primas
  • 52. FGA - our Frequently Given Answers 3. Why use a huge number of molecular descriptors ? Complexity is not an intrinsic property of systems, but rather arises from the number of ways in which we are able (or desire) to interact with a system. A molecule is undoubtedly a complex system
  • 53. FGA - our Frequently Given Answers 4. Is a model explaining the known facts of a system better than a model predicting the future events of that system ? Don’t forget your goal! An understanding of the behavior of a system does not always coincide with the prediction of the system’s future behavior! fitting versus prediction