In silico approaches to identify novel myeloid cell leukemia-1 (Mcl-1) inhibitors for treatment of cancer.

Myeloid cell leukemia-1 (Mcl-1) has been a validated and attractive target for cancer therapy. Over-expression of Mcl-1 in many cancers allows cancer cells to evade apoptosis and contributes to the resistance to current chemotherapeutics. Here, we identified new Mcl-1 inhibitors using a multi-step virtual screening approach.

Homology modeling and virtual screening for inhibitors of lipid kinase PI(4)K from Plasmodium.

Malaria parasite strains have emerged to tolerate the therapeutic effects of the prophylactics and drugs presently available. Recent studies have shown that KAI715 and its analogs inhibit malaria parasites growth by binding to lipid kinase PI(4)K (phosphatidylinositol-4-OH kinase) of the parasites. Therefore, targeting PI(4)K may open up new avenues of target-based drug discovery to identify novel anti-malaria drugs.

Identification of novel VP35 inhibitors: Virtual screening driven new scaffolds.

Ebola virus is a single-stranded, negative-sense RNA virus that causes acute and serious life-threatening illness. In recent years the Ebola virus has spread through several countries in Africa, highlighting the need to develop new treatments for this disease and boosting a new research effort on this subject. However, so far there is no valid treatment for disease created by this pathogen.

[Effect of BYDV-MP nuclear localization signal on the movement of PVX].

Abstract:By using PVX derived vector pGR107, the effect of BYDV-MP nuclear localization signal on the movement of PVX was studied. BYDV-MP was cloned into pGR107 using GFP as an indicator. BYDV-MP was then shown to induce the systemic infection and exacerbate the symptom of PVX through infecting Nicotiana benthamiana.