Faez Iqbal Khan

Dr. Faez Iqbal Khan

Biosciences and Bioinformatics, Xi’an Jiaotong-Liverpool University, Suzhou, Anhui, China
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 March 2017 in Frontiers in Bioengineering and Biotechnology
Verified
Journal Article
Open access
Faez Iqbal KhanFaez Iqbal Khan
Faez Iqbal Khan
DLDongming Lan
Dongming Lan
RDRabia Durrani
Rabia Durrani
WHWeiqian Huan
Weiqian Huan
ZZZexin Zhao
Zexin Zhao
YWYonghua Wang
Yonghua Wang
Lipases are important industrial enzymes. Most of the lipases operate at lipid-water interfaces enabled by a mobile lid domain located over the active site. Lid protects the active site and hence responsible for catalytic activity. In pure aqueous media the lid is predominantly closed, whereas in the presence of a hydrophobic layer it is partially opened. Hence, the lid controls the enzyme activity. In the present review, we have classified lipases into different groups based on the structure of lid domains. It has been observed that thermostable lipases contain larger lid domains with two or more helices, whereas mesophilic lipases tend to have smaller lids in the form of a loop or a helix. Recent developments in lipase engineering addressing the lid regions are critically reviewed here. After on the dramatic changes in substrate selectivity, activity and thermostability have been reported. Furthermore, improved computational models now can rationalize these observations by relating it to the mobility of the lid domain. In this contribution, we summarized and critically evaluated the most recent developments in experimental and computational research on lipase lids.

1 April 2016 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
Faez Iqbal KhanFaez Iqbal Khan
Faez Iqbal Khan
DWDong-Qing Wei
Dong-Qing Wei
KGKe-Ren Gu
Ke-Ren Gu
Md. Imtaiyaz HassanMd. Imtaiyaz Hassan
Md. Imtaiyaz Hassan
STShams Tabrez
Shams Tabrez

Verified
Journal Article
Open access
PDF file
SAShahid Ali
Shahid Ali
Faez Iqbal KhanFaez Iqbal Khan
Faez Iqbal Khan
Taj MohammadTaj Mohammad
Taj Mohammad
DLDongming Lan
Dongming Lan
Md. Imtaiyaz HassanMd. Imtaiyaz Hassan
Md. Imtaiyaz Hassan
YWYonghua Wang
Yonghua Wang
Recent studies revealed the role of lipase in the pathogenicity of Malassezia restricta in dandruff and seborrheic dermatitis (D/SD). The lipase from M. restricta (Mrlip1) is considered a potential target for dandruff therapy. In this work, we performed structure-based virtual screening in Zinc database to find the natural bioactive inhibitors of Mrlip1. We identified three compounds bearing superior affinity and specificity from the Traditional Chinese Medicine database (~60,000 compounds), and their binding patterns with Mrlip1 were analyzed in detail. Additionally, we performed three sets of 100 ns MD simulations of each complex in order to understand the interaction mechanism of Mrlip1 with known inhibitor RHC80267 and the newly identified compounds such as ZINC85530919, ZINC95914464 and ZINC85530320, respectively. These compounds bind to the active site cavity and cause conformational changes in Mrlip1. The Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) studies suggested that the average binding energy was stronger in the case of Mrlip1-ZINC85530919 and Mrlip1-ZINC95914464. The selected natural inhibitors might act as promising lead drugs against Mrlip1. Further, the present study will contribute to various steps involved in developing and creating potent drugs for several skin diseases including dandruff.

3 May 2018 in Journal of Biomolecular Structure and Dynamics
Verified
Journal Article
Closed access
Taj MohammadTaj Mohammad
Taj Mohammad
Faez Iqbal KhanFaez Iqbal Khan
Faez Iqbal Khan
Kevin Alan LobbKevin Alan Lobb
Kevin Alan Lobb
Asimul IslamAsimul Islam
Asimul Islam
Faizan AhmadFaizan Ahmad
Faizan Ahmad
Md. Imtaiyaz HassanMd. Imtaiyaz Hassan
Md. Imtaiyaz Hassan
Microtubule affinity-regulating kinase 4 (MARK4) has recently been identified as a potential drug target for several complex diseases including cancer, diabetes and neurodegenerative disorders. Inhibition of MARK4 activity is an appealing therapeutic option to treat such diseases. Here, we have performed structure-based virtual high-throughput screening of 100,000 naturally occurring compounds from ZINC database against MARK4 to find its potential inhibitors. The resulted hits were selected, based on the binding affinities, docking scores and selectivity. Further, binding energy calculation, Lipinski filtration and ADMET prediction were carried out to find safe and better hits against MARK4. Best 10 compounds bearing high specificity and binding efficiency were selected, and their binding pattern to MARK4 was analyzed in detail. Finally, 100 ns molecular dynamics simulation was performed to evaluate; the dynamics stability of MARK4-compound complex. In conclusion, these selected natural compounds from ZINC database might be potential leads against MARK4, and can further be exploited in drug design and development for associated diseases.

1 February 2017 in Food Chemistry
Verified
Journal Article
Closed access
RXRuipu Xin
Ruipu Xin
SQSuijian Qi
Suijian Qi
CZChaoxi Zeng
Chaoxi Zeng
Faez Iqbal KhanFaez Iqbal Khan
Faez Iqbal Khan
BYBo Yang
Bo Yang
YWYonghua Wang
Yonghua Wang

1 February 2018 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
FNFarha Naz
Farha Naz
Faez Iqbal KhanFaez Iqbal Khan
Faez Iqbal Khan
Taj MohammadTaj Mohammad
Taj Mohammad
PKParvez Khan
Parvez Khan
SMSaaliqa Manzoor
Saaliqa Manzoor
Md. Imtaiyaz HassanMd. Imtaiyaz Hassan
Md. Imtaiyaz Hassan