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Submitted to:
Dr. Namita Singh
Associate Prof. DBNT
GJU S&T Hisar
Submitted by:
Usha Rani
Roll No.- 180090280002
Pre PhD Biotechnology
Screening :-
Screening can be defined as the procedure of
isolation, detection and separation of micro-
organism from a mixed population of our
interest by using highly selective procedure.
Aim:-
 Selection of valuable and important micro-
organism/compounds.
 Removal of valueless micro-organism/compounds.
IMPORTANT THINGS THAT ARE TO BE
CONSIDERED
•Choice of source- A source from which a sample for
screening is taken like air, water, soil, food, milk or
compost etc.
•Choice of substrate- Required nutrients and growth
factors should be supplied for the growth of the desired
microorganism.
•Choice of Detection- A proper isolation and detection of
the desired micro-organism are important.
Screening system discussed :-
1. Chemical screening
2. Biochemical screening
WHY CHEMICAL SCREENING ?
When conventional genetic methods fail to answer
a biological question, a chemical /biochemical
biology approach should be considered.
A successful chemical screening system
comprises three equally important elements:
 A reliable, robust, and quantitative bioassay, which
allows to distinguish between potent and less potent
compounds
 A rigorous validation process for candidate
compounds to establish their selectivity
 An experimental strategy for elucidating a
compound’s mode of action and molecular target.
Fig: 1 Comparison of forward and reverse chemical screening.(A) The goal of phenotypic or forward chemical screening is to
identify from an arrayed library of chemicals a (selective) bioactive compound causing a phenotypic alteration, usually in a
microplate format. Once a selective compound is found, the molecular target is identified, either by a genetic approach or some
type of biochemical purification strategy. (B) The goal of target-based or reverse chemical screening is to identify a compound
that modulates the activity of a selected protein.
Chemical Screening in Plant Biology
In the past decade, plant chemical biology has seen
substantial progress with more than thirty performed
chemical screenings, analyzing various biological
processes.
After having discussed the conditions and
recommendations for performing such chemical
screenings, there are few striking examples which
highlight their distinct characteristics
Target-Based Approaches
In plant chemical biology, there are only two examples
of target based chemical screenings.
i)Yoshitani and colleagues were interested in finding specific
ligands of an Arabidopsis protein in order to unravel its unknown
function (Yoshitani et al., 2005). This study combined in silico
screening, based on the protein’s three-dimensional structure with
subsequent evaluation of candidate compounds using immobilized
recombinant protein in a SPR (Surface Plasmon
Resonance)assay.
Fig:4 Structure of diff. bioactive compounds indentified in diff. chemical screening system
The advantages of combining in silico with
experimental screening
The virtual pre-selection of compounds can
dramatically reduce
1) Time
2) Effort and
3) Expenses associated with experimental
screening.
ii) It relates to the biosynthesis of plant cell wall polysaccharides
(Zabotina et al.,2008).
The synthesis of highly complex polysaccharides constituting the
plant cell wall is thought to involve at least 1000 genes and
biochemical changes caused by mutations create only weak
phenotypes which are difficult to discern (Somerville et al., 2004).
Therefore, a chemical biology approach seemed appropriate.
 Most enzymes involved in the synthesis of extracellular
polysaccharides are located in the Golgi apparatus and
therefore, Zabotina and colleagues monitored the conversion of
radiolabeled UDP-glucose in isolated pea stem microsomal
fractions.
 This quantitative in vitro screening led to identification of ten
compounds (out of 4800 screened) that inhibited the
incorporation of glucose into cell wall carbohydrates.
Chemical A (4) (Figure 4) not only inhibited Golgi-localized
glucosyltransferase activity, but also modified cell wall
composition in plant and activated plasma membrane-bound
callose synthase without affecting the endomembrane
morphology (Zabotina et al., 2008).
Chemical A represents a novel drug with great potential for the
study of the mechanisms of Golgi and plasma membrane-bound
glucosyltransferases and a useful tool for identification of
additional enzymes involved in polysaccharide biosynthesis.
The Design of a Chemical Screening
System Requires:-
1.)Enduring commitment and
2.)Appropriate resources
Thus, careful strategic planning will help to
1.) Avoid pitfalls and
2.) Maximize useful outputs.
1. Assay Development
2. Hit Selection
3. Chemical Libraries and Screening Concentration
4. Verification and Validation of Hits
5. Target Identification
Steps to Design of a Chemical Screening
System :-
ASSAY DEVELOPMENT-
1.First, it needs to be considered, whether the phenotype
is suitable for scoring, which is inevitable for the
screening process, in particular when large numbers of
chemicals are involved and cumulating in high-
throughput screening (HTS).
2.Quantitative screening data permit to distinguish
compounds with strong or weak activities, which may be
useful to have for identification of new bioactive
chemical scaffolds.
3.Quantitative readouts, fluorescence provides very
strong signal intensity and is therefore the most
widely used detection method in HTS in the animal
field, allowing direct visualization in the tissue (Fan
and Wood,2007).
4.The signal strength of luminescence is significantly
lower compared to fluorescence, but it exhibits an
enormous dynamic range, which is mainly due to
almost complete absence of background signal.
-Therefore, bioluminescence is an emerging method
in HTS (Fan and Wood, 2007).
Hit Selection
1. Chemical screenings can be performed in different
ways, with single or replicate measurements. The use
of replicates allows a minimum of statistical analysis
and thereby gives improved confidence in hit
selection by reducing the number of false positive or
negative hits.
2. With small chemical libraries (<500 compounds) it is
feasible and convenient to screen with replicates, but
when large chemical libraries (>2000 compounds)
are used, it is worthwhile to consider time, labor and
costs, as these will proportionally increase.
Chemical Libraries and Screening
Concentration
1. A collection of small molecules commonly referred
to as chemical library is the starting point for
performing the actual chemical screening. Ideally, the
compounds of such library should have general
properties that allow for high selective bioactivity, such
as low molecular weight, the capacity to pass through
membranes and strong and effective interaction with
their targets (Smukste and Stockwell, 2005).
2. The bioavailability of a chemical in a biological
system depends on its solubility, uptake, distribution
and metabolism within the organism.
3.Chemical libraries not only differ in size, but also in
composition and the nature of compounds, which may
affect the screening strategy and the outcome of a
screening project as discussed in detail (for drug
screening) (Shelat and Guy, 2007).
Here it suffices to briefly describe five relevant
categories of libraries to provide a basis for general
considerations:
(1) Bioactive collections (libraries of bioactive compounds)
contain compounds with well-characterized biological activities
(e.g., protein kinase inhibitors). Such libraries (usually smaller
in size) are useful because they facilitate narrowing down or
even identifying molecular targets.
(2) Natural product libraries are assembled from compounds
isolated from various organisms. They are considered to
provide higher hit rates, because they comprise compounds
that are synthesized and transported in biological systems and
might therefore bind to related protein scaffolds in a
heterologous system (Koehn and Carter, 2005; Li and
Vederas,2009).
3) RO5 libraries represent the majority of screening
collections. They are typically derived from chemical synthesis
and may suffer from limited structural diversity when
containing multiple derivatives of certain templates.
(4) To enhance the structural complexity of chemical libraries,
diversity-oriented synthesis (DOS), and biology-oriented
synthesis (BIOS) strategies have been developed, aiming at
novel chemotypes with high complexities that resemble natural
products (Schreiber, 2000; Shelat and Guy, 2007; Kaiser et al.,
2008).
5) Fragment libraries represent another special case of
compound collections that is being used for certain screening
strategies that aim at identifying only substructures (fragments)
of bioactive molecules that are subsequently optimized by
chemical modification (Carr et al., 2005).
However, there are also certain caveats
associated with this approach:
(1)The combination of compounds may eventually
lead to lower applicable concentrations
(considering an upper limit of solvent that can be
applied), which may only allow the identification
of potent compounds.
(2)Molecular interaction between compounds may
affect their stability and their activity (Hann et al.,
1999).
3. False positive or negative hits may originate
from additive or opposite biological activity of
compounds in the same well.
Although compound pooling has been
successfully applied for chemical screening in
a plant system (Tsuchiya et al., 2010), it has to
be carefully considered whether or not it offers
a true advantage.
Verification and Validation of Hits
1. The first step is to repeat the screening assay with the
selected hits to eliminate false positives.
2. False negatives can only be avoided by screening in
replicates.
3. The second step in validation of primary hits
should be an independent bioassay from the same
signaling pathway to confirm the chemical’s
biological activity such as
-Orthogonal assay (Malo et al., 2006) and
which is depending on the screening design and
library size (Gendron et al., 2008; Tsuchiya et al.,
2010; Nishimura et al., 2012, 2014; Hu et al.,
2014).
Target Identification
Target identification is usually the limiting step of a
chemical genetic project. This is mainly due to three
limitations, but not restricted to these:
(1) Weak and reversible interaction between the small
ligand and its protein target (i.e., low binding
affinity);
(2) Low abundance of the target (for multiple targets).
3) Adverse, intrinsic properties of the small molecule,
e.g.lack of suitable functional groups preventing
appropriate chemical modification (i.e. introduction
of a tag) or impaired activity after such modification
(Burdine and Kodadek, 2004; Zheng et al., 2004;
Walsh and Chang, 2006; Terstappen et al., 2007).
Biochemical screening system
Metagenomics, which helps to circumvent the
cultivation of bacteria and select genes directly from the
environment, has become a powerful tool in search of
new enzymes and metabolic pathways for the industrial
biotechnology over the past decades (Allen, Moe,
Rodbumrer, Gaarder, & Handelsman, 2009;
Maruthamuthu, Jiménez, Stevens, & Elsas, 2016;
Suenaga, Ohnuki, & Miyazaki, 2007; Varaljay et al.,
2016).
Many studies show that the function‐based
screening or selection approaches permits an
effective identification of different biocatalysts, such
as lipases/esterases (Reyes‐Duarte, Ferrer, &
Garcia‐Arellano, 2012), cellulases (Maruthamuthu
et al., 2016), and oxygenases (Nagayama et al.,
2015), from diverse environmental sources and
microbial habitats.
COMMON PROBLEM
In the search for new enzymes the common problem is
the
-Absence of an appropriate screening system
Some of the examples
i.
In this study, they successfully identified a
monooxygenase (Icm) active toward
indole‐3‐carboxylic acid. The indigo formation due to
activity of Icm allowed the development of a simple
system for functional screening of enzymes from the
metagenomic libraries. We showed that different
enzymes, for example, ALDHs or amidohydrolases
could be identified depending on the used substrate.
ii.
Conclusion…
Research in plant chemical biology has gained enormous
momentum during the past 10 years with more than 30 diverse
chemical screening campaigns being published that resulted in
the identification of a large number of novel bioactive small
molecules representing useful chemical tools for further
dissecting biological processes .
So far, there is a certain bias for analyzing synthesis and
signaling pathways related to phytohormones , which may be
related to the fact that these are bioactive small molecules
mediating drastic phenotypic alterations (Fonseca et al., 2014;
Rigal et al., 2014). Conversely, this also indicates that there is
still enormous scope for extending chemical screening
projects into yet unexplored areas of biology.
As noted previously, one such area is cell biology with the need
to score for intracellular phenotypes such as membrane
trafficking, which requires establishment of automated
screening systems for image and video analysis (Hicks and
Raikhel, 2009.
Likewise,application of biosensors, capable of
monitoring intracellular concentrations of small molecules, and
selective dyes for staining subcellular structures should be part
of this development (Mur et al., 2011; Swanson et al., 2011;
Okumoto et al., 2012). T
Thus, a steady and extensive application of
chemical genetic approaches can therefore be expected.
However, a continuous challenge is to develop screening
methods that are rapid, simple, and robust (Zhang, 1999; Halder
and Kombrink, 2015.
References :-
1.Naoei Yoshitani, Kazuhito Satou, Kazuki Saito, Sakura Suzuki, Hideki
Hatanaka,Motoaki Seki, Kazuo Shinozaki, Hiroshi Hirota* and Shigeyuki Yokoyama.
2. Zabotina, O., Malm, E., Drakakaki, G., Bulone, V., and Raikhel, N. (2008).
Identification and preliminary characterization of a new chemical affecting
glucosyltransferase activities involved in plant cell wall biosynthesis. Mol. Plant 1,977–
989. doi: 0.1093/mp/ssn055
3. Somerville, C., Bauer, S., Brininstool, G., Facette, M., Hamann, T., Milne, J., et al.
(2004). Toward a systems approach to understanding plant cell walls. Science 306, 2206–
2211. doi: 10.1126/science.1102765
4. Fan, F., and Wood, K. V. (2007). Bioluminescent assays for high-throughput screening.
Assay Drug Dev. Technol. 5, 127–136. doi: 10.1089/adt.2006.053
5. Smukste, I., and Stockwell, B. R. (2005). Advances in chemical genetics. Annu. Rev.
Genomics Hum. Genet. 6, 261–286. doi:10.1146/annurev.genom.6.080604.162136
6.Shelat, A. A., and Guy, R. K. (2007). The interdependence between screening methods
and screening libraries. Curr. Opin. Chem.Biol.11,24421.doi:10.1016/j.cbpa.2007.05.003
7. Koehn, F. E., and Carter, G. T. (2005). The evolving role of natural products in drug
discovery. Nat. Rev. Drug Discov. 4, 206–220. doi: 10.1038/nrd1657
8. Schreiber, S. L. (2000). Target-oriented and diversity-oriented organic synthesis in drug
discovery. Science 287, 1964–1969. doi: 10.1126/science.287.5460.1964
9. Shelat, A. A., and Guy, R. K. (2007). The interdependence between screening methods
and screening libraries. Curr. Opin. Chem. Biol. 11, 244–251.
doi:10.1016/j.cbpa.2007.05.003
10.Kaiser, M., Wetzel, S., Kumar, K., and Waldmann, H. (2008). Biology-inspired
synthesis of compound libraries. Cell. Mol. Life Sci. 65, 1186–1201. doi:10.1007/s00018-
007-7492-1
11. Carr, R. A., Congreve, M., Murray, C. W., and Rees, D. C. (2005). Fragment based
lead discovery: leads by design. Drug Discov. Today 10, 987–992. doi:10.1016/S1359-
6446(05)03511-7
12. Hann, M., Hudson, B., Lewell, X., Lifely, R., Miller, L., and Ramsden, N.
(1999).Strategic pooling of compounds for high-throughput screening. J. Chem. Inf.
Comput. Sci. 39, 897–902. doi: 10.1021/ci990423o
13. Tsuchiya, Y., Vidaurre, D., Toh, S., Hanada, A., Nambara, E., Kamiya, Y., et al.
(2010). A small-molecule screen identifies new functions for the plant hormone
strigolactone. Nat. Chem. Biol. 6, 741–749. doi: 10.1038/nchembio.435
14. Malo, N., Hanley, J. A., Carlile, G., Liu, J., Pelletier, J., Thomas, D., et al. (2010).
Experimental design and statistical methods for improved hit detection in high-throughput
screening. J. Biomol. Screen. 15, 990–1000. doi: 10.1177/1087057110377497
15. Gendron, J. M., Haque, A., Gendron, N., Chang, T., Asami, T., and Wang, Z. Y.
(2008). Chemical genetic dissection of brassinosteroid-ethylene interaction. Mol. Plant
1, 368–379. doi: 10.1093/mp/ssn005
16. Nishimura, T., Hayashi, K., Suzuki, H., Gyohda, A., Takaoka, C., Sakaguchi, Y.,et al.
(2014). Yucasin is a potent inhibitor of YUCCA, a key enzyme in auxin biosynthesis.
Plant J. 77, 352–366. doi: 10.1111/tpj.12399
17. Hu, Y., Callebert, P., Vandemoortel, I., Nguyen, L., Audenaert, D., Verschraegen,L.,
et al. (2014). TR-DB: an open-access database of compounds affecting the ethylene-
induced triple response in Arabidopsis. Plant Physiol. Biochem. 75, 128–137. doi:
10.1016/j.plaphy.2013.12.008
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Biochemical and molecular level screening system and their strategies ppd102

  • 1. Submitted to: Dr. Namita Singh Associate Prof. DBNT GJU S&T Hisar Submitted by: Usha Rani Roll No.- 180090280002 Pre PhD Biotechnology
  • 2. Screening :- Screening can be defined as the procedure of isolation, detection and separation of micro- organism from a mixed population of our interest by using highly selective procedure.
  • 3. Aim:-  Selection of valuable and important micro- organism/compounds.  Removal of valueless micro-organism/compounds.
  • 4. IMPORTANT THINGS THAT ARE TO BE CONSIDERED •Choice of source- A source from which a sample for screening is taken like air, water, soil, food, milk or compost etc. •Choice of substrate- Required nutrients and growth factors should be supplied for the growth of the desired microorganism. •Choice of Detection- A proper isolation and detection of the desired micro-organism are important.
  • 5. Screening system discussed :- 1. Chemical screening 2. Biochemical screening
  • 6. WHY CHEMICAL SCREENING ? When conventional genetic methods fail to answer a biological question, a chemical /biochemical biology approach should be considered.
  • 7. A successful chemical screening system comprises three equally important elements:  A reliable, robust, and quantitative bioassay, which allows to distinguish between potent and less potent compounds  A rigorous validation process for candidate compounds to establish their selectivity  An experimental strategy for elucidating a compound’s mode of action and molecular target.
  • 8. Fig: 1 Comparison of forward and reverse chemical screening.(A) The goal of phenotypic or forward chemical screening is to identify from an arrayed library of chemicals a (selective) bioactive compound causing a phenotypic alteration, usually in a microplate format. Once a selective compound is found, the molecular target is identified, either by a genetic approach or some type of biochemical purification strategy. (B) The goal of target-based or reverse chemical screening is to identify a compound that modulates the activity of a selected protein.
  • 9. Chemical Screening in Plant Biology In the past decade, plant chemical biology has seen substantial progress with more than thirty performed chemical screenings, analyzing various biological processes. After having discussed the conditions and recommendations for performing such chemical screenings, there are few striking examples which highlight their distinct characteristics
  • 10. Target-Based Approaches In plant chemical biology, there are only two examples of target based chemical screenings. i)Yoshitani and colleagues were interested in finding specific ligands of an Arabidopsis protein in order to unravel its unknown function (Yoshitani et al., 2005). This study combined in silico screening, based on the protein’s three-dimensional structure with subsequent evaluation of candidate compounds using immobilized recombinant protein in a SPR (Surface Plasmon Resonance)assay.
  • 11.
  • 12. Fig:4 Structure of diff. bioactive compounds indentified in diff. chemical screening system
  • 13. The advantages of combining in silico with experimental screening The virtual pre-selection of compounds can dramatically reduce 1) Time 2) Effort and 3) Expenses associated with experimental screening.
  • 14. ii) It relates to the biosynthesis of plant cell wall polysaccharides (Zabotina et al.,2008). The synthesis of highly complex polysaccharides constituting the plant cell wall is thought to involve at least 1000 genes and biochemical changes caused by mutations create only weak phenotypes which are difficult to discern (Somerville et al., 2004). Therefore, a chemical biology approach seemed appropriate.
  • 15.
  • 16.  Most enzymes involved in the synthesis of extracellular polysaccharides are located in the Golgi apparatus and therefore, Zabotina and colleagues monitored the conversion of radiolabeled UDP-glucose in isolated pea stem microsomal fractions.  This quantitative in vitro screening led to identification of ten compounds (out of 4800 screened) that inhibited the incorporation of glucose into cell wall carbohydrates.
  • 17. Chemical A (4) (Figure 4) not only inhibited Golgi-localized glucosyltransferase activity, but also modified cell wall composition in plant and activated plasma membrane-bound callose synthase without affecting the endomembrane morphology (Zabotina et al., 2008). Chemical A represents a novel drug with great potential for the study of the mechanisms of Golgi and plasma membrane-bound glucosyltransferases and a useful tool for identification of additional enzymes involved in polysaccharide biosynthesis.
  • 18. The Design of a Chemical Screening System Requires:- 1.)Enduring commitment and 2.)Appropriate resources Thus, careful strategic planning will help to 1.) Avoid pitfalls and 2.) Maximize useful outputs.
  • 19. 1. Assay Development 2. Hit Selection 3. Chemical Libraries and Screening Concentration 4. Verification and Validation of Hits 5. Target Identification Steps to Design of a Chemical Screening System :-
  • 20. ASSAY DEVELOPMENT- 1.First, it needs to be considered, whether the phenotype is suitable for scoring, which is inevitable for the screening process, in particular when large numbers of chemicals are involved and cumulating in high- throughput screening (HTS). 2.Quantitative screening data permit to distinguish compounds with strong or weak activities, which may be useful to have for identification of new bioactive chemical scaffolds.
  • 21. 3.Quantitative readouts, fluorescence provides very strong signal intensity and is therefore the most widely used detection method in HTS in the animal field, allowing direct visualization in the tissue (Fan and Wood,2007). 4.The signal strength of luminescence is significantly lower compared to fluorescence, but it exhibits an enormous dynamic range, which is mainly due to almost complete absence of background signal. -Therefore, bioluminescence is an emerging method in HTS (Fan and Wood, 2007).
  • 22. Hit Selection 1. Chemical screenings can be performed in different ways, with single or replicate measurements. The use of replicates allows a minimum of statistical analysis and thereby gives improved confidence in hit selection by reducing the number of false positive or negative hits. 2. With small chemical libraries (<500 compounds) it is feasible and convenient to screen with replicates, but when large chemical libraries (>2000 compounds) are used, it is worthwhile to consider time, labor and costs, as these will proportionally increase.
  • 23. Chemical Libraries and Screening Concentration 1. A collection of small molecules commonly referred to as chemical library is the starting point for performing the actual chemical screening. Ideally, the compounds of such library should have general properties that allow for high selective bioactivity, such as low molecular weight, the capacity to pass through membranes and strong and effective interaction with their targets (Smukste and Stockwell, 2005).
  • 24. 2. The bioavailability of a chemical in a biological system depends on its solubility, uptake, distribution and metabolism within the organism. 3.Chemical libraries not only differ in size, but also in composition and the nature of compounds, which may affect the screening strategy and the outcome of a screening project as discussed in detail (for drug screening) (Shelat and Guy, 2007).
  • 25. Here it suffices to briefly describe five relevant categories of libraries to provide a basis for general considerations: (1) Bioactive collections (libraries of bioactive compounds) contain compounds with well-characterized biological activities (e.g., protein kinase inhibitors). Such libraries (usually smaller in size) are useful because they facilitate narrowing down or even identifying molecular targets.
  • 26. (2) Natural product libraries are assembled from compounds isolated from various organisms. They are considered to provide higher hit rates, because they comprise compounds that are synthesized and transported in biological systems and might therefore bind to related protein scaffolds in a heterologous system (Koehn and Carter, 2005; Li and Vederas,2009). 3) RO5 libraries represent the majority of screening collections. They are typically derived from chemical synthesis and may suffer from limited structural diversity when containing multiple derivatives of certain templates.
  • 27. (4) To enhance the structural complexity of chemical libraries, diversity-oriented synthesis (DOS), and biology-oriented synthesis (BIOS) strategies have been developed, aiming at novel chemotypes with high complexities that resemble natural products (Schreiber, 2000; Shelat and Guy, 2007; Kaiser et al., 2008). 5) Fragment libraries represent another special case of compound collections that is being used for certain screening strategies that aim at identifying only substructures (fragments) of bioactive molecules that are subsequently optimized by chemical modification (Carr et al., 2005).
  • 28. However, there are also certain caveats associated with this approach: (1)The combination of compounds may eventually lead to lower applicable concentrations (considering an upper limit of solvent that can be applied), which may only allow the identification of potent compounds. (2)Molecular interaction between compounds may affect their stability and their activity (Hann et al., 1999).
  • 29. 3. False positive or negative hits may originate from additive or opposite biological activity of compounds in the same well. Although compound pooling has been successfully applied for chemical screening in a plant system (Tsuchiya et al., 2010), it has to be carefully considered whether or not it offers a true advantage.
  • 30. Verification and Validation of Hits 1. The first step is to repeat the screening assay with the selected hits to eliminate false positives. 2. False negatives can only be avoided by screening in replicates.
  • 31. 3. The second step in validation of primary hits should be an independent bioassay from the same signaling pathway to confirm the chemical’s biological activity such as -Orthogonal assay (Malo et al., 2006) and which is depending on the screening design and library size (Gendron et al., 2008; Tsuchiya et al., 2010; Nishimura et al., 2012, 2014; Hu et al., 2014).
  • 32. Target Identification Target identification is usually the limiting step of a chemical genetic project. This is mainly due to three limitations, but not restricted to these: (1) Weak and reversible interaction between the small ligand and its protein target (i.e., low binding affinity); (2) Low abundance of the target (for multiple targets).
  • 33. 3) Adverse, intrinsic properties of the small molecule, e.g.lack of suitable functional groups preventing appropriate chemical modification (i.e. introduction of a tag) or impaired activity after such modification (Burdine and Kodadek, 2004; Zheng et al., 2004; Walsh and Chang, 2006; Terstappen et al., 2007).
  • 35. Metagenomics, which helps to circumvent the cultivation of bacteria and select genes directly from the environment, has become a powerful tool in search of new enzymes and metabolic pathways for the industrial biotechnology over the past decades (Allen, Moe, Rodbumrer, Gaarder, & Handelsman, 2009; Maruthamuthu, Jiménez, Stevens, & Elsas, 2016; Suenaga, Ohnuki, & Miyazaki, 2007; Varaljay et al., 2016).
  • 36. Many studies show that the function‐based screening or selection approaches permits an effective identification of different biocatalysts, such as lipases/esterases (Reyes‐Duarte, Ferrer, & Garcia‐Arellano, 2012), cellulases (Maruthamuthu et al., 2016), and oxygenases (Nagayama et al., 2015), from diverse environmental sources and microbial habitats.
  • 37. COMMON PROBLEM In the search for new enzymes the common problem is the -Absence of an appropriate screening system
  • 38. Some of the examples i.
  • 39. In this study, they successfully identified a monooxygenase (Icm) active toward indole‐3‐carboxylic acid. The indigo formation due to activity of Icm allowed the development of a simple system for functional screening of enzymes from the metagenomic libraries. We showed that different enzymes, for example, ALDHs or amidohydrolases could be identified depending on the used substrate.
  • 40. ii.
  • 41. Conclusion… Research in plant chemical biology has gained enormous momentum during the past 10 years with more than 30 diverse chemical screening campaigns being published that resulted in the identification of a large number of novel bioactive small molecules representing useful chemical tools for further dissecting biological processes . So far, there is a certain bias for analyzing synthesis and signaling pathways related to phytohormones , which may be related to the fact that these are bioactive small molecules mediating drastic phenotypic alterations (Fonseca et al., 2014; Rigal et al., 2014). Conversely, this also indicates that there is still enormous scope for extending chemical screening projects into yet unexplored areas of biology.
  • 42. As noted previously, one such area is cell biology with the need to score for intracellular phenotypes such as membrane trafficking, which requires establishment of automated screening systems for image and video analysis (Hicks and Raikhel, 2009. Likewise,application of biosensors, capable of monitoring intracellular concentrations of small molecules, and selective dyes for staining subcellular structures should be part of this development (Mur et al., 2011; Swanson et al., 2011; Okumoto et al., 2012). T Thus, a steady and extensive application of chemical genetic approaches can therefore be expected. However, a continuous challenge is to develop screening methods that are rapid, simple, and robust (Zhang, 1999; Halder and Kombrink, 2015.
  • 43. References :- 1.Naoei Yoshitani, Kazuhito Satou, Kazuki Saito, Sakura Suzuki, Hideki Hatanaka,Motoaki Seki, Kazuo Shinozaki, Hiroshi Hirota* and Shigeyuki Yokoyama. 2. Zabotina, O., Malm, E., Drakakaki, G., Bulone, V., and Raikhel, N. (2008). Identification and preliminary characterization of a new chemical affecting glucosyltransferase activities involved in plant cell wall biosynthesis. Mol. Plant 1,977– 989. doi: 0.1093/mp/ssn055 3. Somerville, C., Bauer, S., Brininstool, G., Facette, M., Hamann, T., Milne, J., et al. (2004). Toward a systems approach to understanding plant cell walls. Science 306, 2206– 2211. doi: 10.1126/science.1102765 4. Fan, F., and Wood, K. V. (2007). Bioluminescent assays for high-throughput screening. Assay Drug Dev. Technol. 5, 127–136. doi: 10.1089/adt.2006.053 5. Smukste, I., and Stockwell, B. R. (2005). Advances in chemical genetics. Annu. Rev. Genomics Hum. Genet. 6, 261–286. doi:10.1146/annurev.genom.6.080604.162136 6.Shelat, A. A., and Guy, R. K. (2007). The interdependence between screening methods and screening libraries. Curr. Opin. Chem.Biol.11,24421.doi:10.1016/j.cbpa.2007.05.003 7. Koehn, F. E., and Carter, G. T. (2005). The evolving role of natural products in drug discovery. Nat. Rev. Drug Discov. 4, 206–220. doi: 10.1038/nrd1657
  • 44. 8. Schreiber, S. L. (2000). Target-oriented and diversity-oriented organic synthesis in drug discovery. Science 287, 1964–1969. doi: 10.1126/science.287.5460.1964 9. Shelat, A. A., and Guy, R. K. (2007). The interdependence between screening methods and screening libraries. Curr. Opin. Chem. Biol. 11, 244–251. doi:10.1016/j.cbpa.2007.05.003 10.Kaiser, M., Wetzel, S., Kumar, K., and Waldmann, H. (2008). Biology-inspired synthesis of compound libraries. Cell. Mol. Life Sci. 65, 1186–1201. doi:10.1007/s00018- 007-7492-1 11. Carr, R. A., Congreve, M., Murray, C. W., and Rees, D. C. (2005). Fragment based lead discovery: leads by design. Drug Discov. Today 10, 987–992. doi:10.1016/S1359- 6446(05)03511-7 12. Hann, M., Hudson, B., Lewell, X., Lifely, R., Miller, L., and Ramsden, N. (1999).Strategic pooling of compounds for high-throughput screening. J. Chem. Inf. Comput. Sci. 39, 897–902. doi: 10.1021/ci990423o 13. Tsuchiya, Y., Vidaurre, D., Toh, S., Hanada, A., Nambara, E., Kamiya, Y., et al. (2010). A small-molecule screen identifies new functions for the plant hormone strigolactone. Nat. Chem. Biol. 6, 741–749. doi: 10.1038/nchembio.435 14. Malo, N., Hanley, J. A., Carlile, G., Liu, J., Pelletier, J., Thomas, D., et al. (2010). Experimental design and statistical methods for improved hit detection in high-throughput screening. J. Biomol. Screen. 15, 990–1000. doi: 10.1177/1087057110377497
  • 45. 15. Gendron, J. M., Haque, A., Gendron, N., Chang, T., Asami, T., and Wang, Z. Y. (2008). Chemical genetic dissection of brassinosteroid-ethylene interaction. Mol. Plant 1, 368–379. doi: 10.1093/mp/ssn005 16. Nishimura, T., Hayashi, K., Suzuki, H., Gyohda, A., Takaoka, C., Sakaguchi, Y.,et al. (2014). Yucasin is a potent inhibitor of YUCCA, a key enzyme in auxin biosynthesis. Plant J. 77, 352–366. doi: 10.1111/tpj.12399 17. Hu, Y., Callebert, P., Vandemoortel, I., Nguyen, L., Audenaert, D., Verschraegen,L., et al. (2014). TR-DB: an open-access database of compounds affecting the ethylene- induced triple response in Arabidopsis. Plant Physiol. Biochem. 75, 128–137. doi: 10.1016/j.plaphy.2013.12.008