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Predicting anti-HIV activity of 1,3,4-thiazolidinone derivatives: 3D-QSAR approach

Predicting Anti-HIV Activity of 1,3,4-Thiazolidinone derivate; 3D-QSAR aproach

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Page 1: Predicting Anti-HIV Activity of 1,3,4-Thiazolidinone derivate; 3D-QSAR aproach

Predicting anti-HIV activity of 1,3,4-thiazolidinone derivatives: 3D-QSAR

approach

Page 2: Predicting Anti-HIV Activity of 1,3,4-Thiazolidinone derivate; 3D-QSAR aproach
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Introduction

HIVHIV AIDSAIDS

Enzyme :Reverse transcriptase (RT)Proteaseintegrase, dll

Enzyme :Reverse transcriptase (RT)Proteaseintegrase, dll

ReplicationReplication

InhibitorInhibitor

thiazolidinone derivatives

thiazolidinone derivatives

3D-QSAR3D-QSAR

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Materials and Methods

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Rationale for QSAR Studies...

A quantitative structure-activity relationship (QSAR) correlates measurable or calculable physical or molecular properties to some specific biological activity in terms of an equation.Once a valid QSAR has been determined, it should be possible to predict the biological activity of related drug candidates before they are put through expensive and time-consuming biological testing.

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History of QSARThe first application of QSAR is attributed to Hansch (1969), who developed an equation that related biological activity to certain electronic characteristics and the hydrophobicity of a set of structures.

log (1/C) = k1log P - k2(log P)2 + k3 + k4

for: C = minimum effective doseP = octanol - water partition coefficient = Hammett substituent constantkx= constants derived from regression analysis

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Molecular Properties in QSAR• Many other molecular properties have been

incorporated into QSAR studies; some of these are measurable physical properties, such as:

•density

•pKa•ionization energy•boiling point•Hvaporization•refractive index

•density

•pKa•ionization energy•boiling point•Hvaporization•refractive index

•molecular weight•dipole moment ()•Hhydration•reduction potential•lipophilicity parameter = log PX - log PH

•molecular weight•dipole moment ()•Hhydration•reduction potential•lipophilicity parameter = log PX - log PH

Page 8: Predicting Anti-HIV Activity of 1,3,4-Thiazolidinone derivate; 3D-QSAR aproach

Molecular Properties in QSAROther molecular properties (descriptors) that have been incorporated into QSAR studies include calculated properties, such as:

•ovality •surface area, •molec. volume•HOMO energy •LUMO energy•polarizability•charges on individual atoms•molecular volume

•ovality •surface area, •molec. volume•HOMO energy •LUMO energy•polarizability•charges on individual atoms•molecular volume

•vdW surface area•maximum + and - charge•molar refractivity •hardness•hydration energy •Taft’s steric parameter•solvent accessible surface area

•vdW surface area•maximum + and - charge•molar refractivity •hardness•hydration energy •Taft’s steric parameter•solvent accessible surface area

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CoMSIA Metode ini dikenalkan oleh Klebe, dkk.

Dengan kotak kisi yang sama seperti yang digunakan pada perhitungan CoMFA.

Kelima sifat fisikokimia yang digunakan: sterikElektrostatikHidrofobikDonor ikatan hidrogen, danAkseptor ikatan hidrogen

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17 compounds in test set

96 compounds in training set

To develop CoMFA and CoMSIA

modelsTo validate the

developed model

Result and Discussion

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PLS Statistic CoMFA CoMSIAr2

SEE0,8610,429

0,9580,287

PLS Statistic CoMFA CoMSIAr2

SEE0,8610,429

0,9580,287

PLS statistics of CoMFA and CoMSIA test set compounds

Page 26: Predicting Anti-HIV Activity of 1,3,4-Thiazolidinone derivate; 3D-QSAR aproach

CoMFA• Red ; elektronegatif : 3’, 2”, 6” → aktivitas meningkat dengan

adanya gugus yg lebih elektronegatif & penarik elektron (CN, F, Br, Cl)

• Blue ; elektropositif : 4’ → aktivitas menurun dengan adanya gugus elektronegatif & penarik elektron.

• Yellow ; bulky : 2’, 4’, 2”, 3”, 6”→menurunkan aktivitas

Page 27: Predicting Anti-HIV Activity of 1,3,4-Thiazolidinone derivate; 3D-QSAR aproach

• White : gugus hidrofob : 3’, 2”, 6”-aktivitas anti-HIV meningkat →berinteraksi dengan residu asam amino dari HIV-1 reverse transcriptase.

• Yellow : gugus hidrofob : 4’, 3”, 4”Aktivitas biologi menurun

• Magenta : H.bond-Aceptor : 3’, 2”, 6”aktivitas meningkatinteraksi H.Bond dengan res. asam amino

• Cyan : HB donor : 4’ : aktivitas meningkat• Red : HB donor : 2”, 6” : aktivitas menurun

CoMSIA

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Kesimpulan

• Peta kontur dari CoMFA dan CoMSIA memberikan informasi yang berguna untuk desain senyawa baru turunan thiazolidinone dengan aktivitas anti-HIV yang lebih tinggi.

• Hasil ini membuktikan bahwa CoMFA dan CoMSIA merupakan metode yang terpercaya, dengan menunjukan bahwa substituen pada posisi 3’, 2”, 6” pada cincin aromatis thiazolidinone berperan penting dalam aktivitas anti-HIV, yang mana secara efisien dapat memandu dalam memodifikasi senyawa analog thiazolidinone.

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