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HISTORY OF COMPUTERS IN
PHARMACEUTICAL RESEARCH
AND DEVELOPMENT
Zahid Husain
M.Pharm (Pharmaceutics)
Faculty of Pharmacy, IU, Lucknow
Under Guidance of Mr. Anup Kumar Sirbaiya
INTRODUCTION
ī‚¨ Today computers are so ubiquitous in pharmaceutical
research and development that it may be hard to
imagine a time when there were no computers to
assist the medicinal chemist or biologist.
ī‚¨ Computers began to be utilized at pharmaceutical
companies as early as the 1940s.
ī‚¨ There were several scientific and engineering
advances that made possible a computational
approach to design and develop a molecule.
Contâ€Ļ
ī‚¨ One fundamental concept understood by chemists was that chemical
structure is related to molecular properties including biological activity.
ī‚¨ Hence if one could predict properties by calculations, one might be able to
predict which structures should be investigated in the laboratory.
ī‚¨ Another fundamental, well-established concept was that a drug would
exert its biological activity by binding to and/or inhibiting some
biomolecule in the body. ( This concept stems from Fischer’s famous lock-
and-key hypothesis).
ī‚¨ Pioneering research in the 1950s attacked the problem of linking electronic
structure and biological activity.
ī‚¨ A good part of this work was collected in the 1963 book by Bernard and
Alberte Pullman of Paris, France, which fired the imagination of what
might be possible with calculations on biomolecules .
Contâ€Ļ
ī‚¨ The earliest papers that attempted to mathematically
relate chemical structure and biological activity were
published in Scotland in the middle of the nineteenth
century.
ī‚¨ This work and a couple of other papers were
forerunners (precursor) to modern quantitative
structure activity relationships (QSAR).
ī‚¨ The early computers were designed for military and
accounting applications, but gradually it became
apparent that computers would have a vast number of
uses.
COMPUTATIONAL CHEMISTRY: THE
BEGINNINGS AT LILLY
ī‚¨ In the early 1940s, the first computers to have stored programs
of scientific interest were acquired.
ī‚¨ One of these was an IBM 650; it had a rotating magnetic drum
memory consisting of 2000 accessible registers.
ī‚¨ The programs, the data input, and the output were all in the
form of IBM punched cards.
ī‚¨ It was carried out by Lilly’s research statistics group under Dr.
Edgar King.
ī‚¨ It was not until 1968, when Don Boyd joined the second
theoretical chemist in the group, that the computers at Lilly
started to reach a level of size, speed, and sophistication to be
able to handle some of the computational requirements of
various evaluation and design efforts.
GERMINATION: THE 1960s
ī‚¨ In 1960 essentially 100% of the computational chemists
were in academia, not industry.
ī‚¨ The students coming from those academic laboratories
constituted the main pool of candidates that industry could
hire for their initial ventures into using computers for drug
discovery.
ī‚¨ Another pool of chemists educated using computers were
X-ray crystallographers.
ī‚¨ One of the largest computers then in use by theoretical
chemists and crystallographers was the IBM 7094.
ī‚¨ Support staff operated the tape readers, card readers, and
printers.
Contâ€Ļ
ī‚¨ Programs were written in FORTRAN II.
ī‚¨ Programs used by the chemists usually ranged from half a box
to several boxes long.
ī‚¨ Carrying several boxes of cards to the computer center was
good for physical fitness.
ī‚¨ If a box was dropped or if a card reader mangledsome of the
cards, the tedious task of restoring the deck and replacing the
torn cards ensued.
ī‚¨ Finally in regard to software, we note one program that came
from the realm of crystallography.
ī‚¨ That program was ORTEP (Oak Ridge Thermal Ellipsoid
Program), which was the first widely used program for (non
interactive) molecular graphics .
GAINING A FOOTHOLD: THE 1970s
ī‚¨ Lilly management of the 1970s standed by further permanent growth.
ī‚¨ It was not until near the end of the 1980s that Lilly resumed growing its
computational chemistry group to catch up to the other large
pharmaceutical companies.
ī‚¨ Other companies such as Merck and Smith Kline and French (using the old
name) entered the field a few years later.
ī‚¨ Unlike Lilly, they hired chemists trained in organic chemistry and
computers.
ī‚¨ Widely used models included members of the IBM 360 and 370 series.
ī‚¨ Placing these more powerful machines in-house made it easier and more
secure to submit jobs and retrieve output. But output was still in the form
of long printouts.
Contâ€Ļ
ī‚¨ Computational chemists in the pharmaceutical industry also
expanded from their academic upbringing by acquiring an
interest in force field methods, QSAR, and statistics.
ī‚¨ To solve research problems in industry, one had to use the
best available technique, and this did not mean going to a
larger basis set or a higher level of quantum mechanical
theory. It meant using molecular mechanics or QSAR.
ī‚¨ The 1970s were full of small successes such as finding
correlations between calculated and experimental
properties.
ī‚¨ Some of these correlations were published. Even something
so grand as the de novo design of a pharmaceutical was
attempted but was somewhat beyond reach.
GROWTH: THE 1980s
ī‚¨ If the 1960s were the Dark Ages and the 1970s were the
Middle Ages, the 1980s were the Renaissance, the Baroque
Period, and the Enlightenment all rolled into one.
ī‚¨ The decade of the 1980s was when the various approaches of
quantum chemistry, molecular mechanics, molecular
simulations, QSAR, and molecular graphics coalesced into
modern computational chemistry.
ī‚¨ Several exciting technical advances fostered the improved
environment for computer use at pharmaceutical companies in
the 1980s. The first was a development of the VAX 11/780
computer by Digital Equipment Corporation (DEC) in 1979.
FRUITION: THE 1990s
ī‚¨ The 1990s was a decade of fruition because the computer-
based drug discovery work of the 1980s yielded an impressive
number of new chemical entities reaching the pharmaceutical
marketplace.
ī‚¨ Pharmaceutical companies were accustomed to supporting
their own research and making large investments in it.
ī‚¨ supercomputers that were creating excitement at a small
number of pharmaceutical companies, another hardware
development was attracting attention at just about every
company interested in designing drugs.
ī‚¨ Workstations from Silicon Graphics Inc. (SGI) were becoming
increasingly popular for molecular research.
Contâ€Ļ
ī‚¨ During the time of Apple Macintoshes were well
liked by scientists. However, in 1994 Apple lost its
lawsuit against Microsoft regarding the similarities of
the Windows graphical user interface (GUI) to
Apple’s desktop design.
ī‚¨ QSAR proved to be one of the best approaches to
providing assistance to the medicinal chemist in the
1990s.
ī‚¨ Therefore, computational chemistry experts play an
important role in maximizing the potential benefits of
computer based technologies.
THANK YOU

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History of computers in pharmaceutical research and development

  • 1. HISTORY OF COMPUTERS IN PHARMACEUTICAL RESEARCH AND DEVELOPMENT Zahid Husain M.Pharm (Pharmaceutics) Faculty of Pharmacy, IU, Lucknow Under Guidance of Mr. Anup Kumar Sirbaiya
  • 2. INTRODUCTION ī‚¨ Today computers are so ubiquitous in pharmaceutical research and development that it may be hard to imagine a time when there were no computers to assist the medicinal chemist or biologist. ī‚¨ Computers began to be utilized at pharmaceutical companies as early as the 1940s. ī‚¨ There were several scientific and engineering advances that made possible a computational approach to design and develop a molecule.
  • 3. Contâ€Ļ ī‚¨ One fundamental concept understood by chemists was that chemical structure is related to molecular properties including biological activity. ī‚¨ Hence if one could predict properties by calculations, one might be able to predict which structures should be investigated in the laboratory. ī‚¨ Another fundamental, well-established concept was that a drug would exert its biological activity by binding to and/or inhibiting some biomolecule in the body. ( This concept stems from Fischer’s famous lock- and-key hypothesis). ī‚¨ Pioneering research in the 1950s attacked the problem of linking electronic structure and biological activity. ī‚¨ A good part of this work was collected in the 1963 book by Bernard and Alberte Pullman of Paris, France, which fired the imagination of what might be possible with calculations on biomolecules .
  • 4. Contâ€Ļ ī‚¨ The earliest papers that attempted to mathematically relate chemical structure and biological activity were published in Scotland in the middle of the nineteenth century. ī‚¨ This work and a couple of other papers were forerunners (precursor) to modern quantitative structure activity relationships (QSAR). ī‚¨ The early computers were designed for military and accounting applications, but gradually it became apparent that computers would have a vast number of uses.
  • 5. COMPUTATIONAL CHEMISTRY: THE BEGINNINGS AT LILLY ī‚¨ In the early 1940s, the first computers to have stored programs of scientific interest were acquired. ī‚¨ One of these was an IBM 650; it had a rotating magnetic drum memory consisting of 2000 accessible registers. ī‚¨ The programs, the data input, and the output were all in the form of IBM punched cards. ī‚¨ It was carried out by Lilly’s research statistics group under Dr. Edgar King. ī‚¨ It was not until 1968, when Don Boyd joined the second theoretical chemist in the group, that the computers at Lilly started to reach a level of size, speed, and sophistication to be able to handle some of the computational requirements of various evaluation and design efforts.
  • 6. GERMINATION: THE 1960s ī‚¨ In 1960 essentially 100% of the computational chemists were in academia, not industry. ī‚¨ The students coming from those academic laboratories constituted the main pool of candidates that industry could hire for their initial ventures into using computers for drug discovery. ī‚¨ Another pool of chemists educated using computers were X-ray crystallographers. ī‚¨ One of the largest computers then in use by theoretical chemists and crystallographers was the IBM 7094. ī‚¨ Support staff operated the tape readers, card readers, and printers.
  • 7. Contâ€Ļ ī‚¨ Programs were written in FORTRAN II. ī‚¨ Programs used by the chemists usually ranged from half a box to several boxes long. ī‚¨ Carrying several boxes of cards to the computer center was good for physical fitness. ī‚¨ If a box was dropped or if a card reader mangledsome of the cards, the tedious task of restoring the deck and replacing the torn cards ensued. ī‚¨ Finally in regard to software, we note one program that came from the realm of crystallography. ī‚¨ That program was ORTEP (Oak Ridge Thermal Ellipsoid Program), which was the first widely used program for (non interactive) molecular graphics .
  • 8. GAINING A FOOTHOLD: THE 1970s ī‚¨ Lilly management of the 1970s standed by further permanent growth. ī‚¨ It was not until near the end of the 1980s that Lilly resumed growing its computational chemistry group to catch up to the other large pharmaceutical companies. ī‚¨ Other companies such as Merck and Smith Kline and French (using the old name) entered the field a few years later. ī‚¨ Unlike Lilly, they hired chemists trained in organic chemistry and computers. ī‚¨ Widely used models included members of the IBM 360 and 370 series. ī‚¨ Placing these more powerful machines in-house made it easier and more secure to submit jobs and retrieve output. But output was still in the form of long printouts.
  • 9.
  • 10. Contâ€Ļ ī‚¨ Computational chemists in the pharmaceutical industry also expanded from their academic upbringing by acquiring an interest in force field methods, QSAR, and statistics. ī‚¨ To solve research problems in industry, one had to use the best available technique, and this did not mean going to a larger basis set or a higher level of quantum mechanical theory. It meant using molecular mechanics or QSAR. ī‚¨ The 1970s were full of small successes such as finding correlations between calculated and experimental properties. ī‚¨ Some of these correlations were published. Even something so grand as the de novo design of a pharmaceutical was attempted but was somewhat beyond reach.
  • 11. GROWTH: THE 1980s ī‚¨ If the 1960s were the Dark Ages and the 1970s were the Middle Ages, the 1980s were the Renaissance, the Baroque Period, and the Enlightenment all rolled into one. ī‚¨ The decade of the 1980s was when the various approaches of quantum chemistry, molecular mechanics, molecular simulations, QSAR, and molecular graphics coalesced into modern computational chemistry. ī‚¨ Several exciting technical advances fostered the improved environment for computer use at pharmaceutical companies in the 1980s. The first was a development of the VAX 11/780 computer by Digital Equipment Corporation (DEC) in 1979.
  • 12.
  • 13. FRUITION: THE 1990s ī‚¨ The 1990s was a decade of fruition because the computer- based drug discovery work of the 1980s yielded an impressive number of new chemical entities reaching the pharmaceutical marketplace. ī‚¨ Pharmaceutical companies were accustomed to supporting their own research and making large investments in it. ī‚¨ supercomputers that were creating excitement at a small number of pharmaceutical companies, another hardware development was attracting attention at just about every company interested in designing drugs. ī‚¨ Workstations from Silicon Graphics Inc. (SGI) were becoming increasingly popular for molecular research.
  • 14. Contâ€Ļ ī‚¨ During the time of Apple Macintoshes were well liked by scientists. However, in 1994 Apple lost its lawsuit against Microsoft regarding the similarities of the Windows graphical user interface (GUI) to Apple’s desktop design. ī‚¨ QSAR proved to be one of the best approaches to providing assistance to the medicinal chemist in the 1990s. ī‚¨ Therefore, computational chemistry experts play an important role in maximizing the potential benefits of computer based technologies.
  • 15.