Physico-chemical properties reflect the functional and structural characteristics of a protein. The comparative study of the physicochemical properties is important to know role of a protein in exploring its molecular evolution. A number of online and offline tools are available for calculating the physico-chemical properties of a single protein sequence. However, a tool is not available for a comparative study with graphical visualization of Multi-FASTA sequences. Hence, we describe the development and utility of MFPPI V.1.0 (a web interface developed in JAVA platform) to input each FASTA sequence from Multi-FASTA file into the ProtParam web server for the calculation of physico-chemical properties. MFPPI V.1.0 calculates different physico-chemical properties for a given set of proteins in a single run and saves the data in the MSExcel sheet. Furthermore, it provides a graphical representation of protein physico-chemical properties for analysis and visualization of data in a user-friendly manner. Therefore, the output from the analysis helps to understand compositional changes and functional relationship in evolution among organisms. We have demonstrated the utility of MFPPI V.1.0 using 17 mtATP6 protein sequences from different mammalian species. It is available for free at http://insilicogenomics.in/mfpcalc/mfppi.html.

α-Amylase catalyses the hydrolysis of glucosidic bonds in polysaccharides such as starch, glycogen and their degradation products. In the present study, the three-dimensional structure of fenugreek (Trigonella foenum-graecum) α-amylase was determined using a homology modeling-based technique. The best predicted model was deposited in PMDB server with PMDB ID PM0084364. The phylogenetic tree was created using the UPGMA method with 8 homologous protein sequences, Trigonella foenum-graecum was utilized as the target protein. Alignment of the phylogenetic tree identified two primary functional groupings (A and B). α-Amylase from the target genome Trigonella foenum-graecum (Acc. No: GHNA01022531.1) was clustered with Medicago truncatula (Acc. No: XP003589186.1), Cicer arietinum (Acc. No: XP004499059.1), Cajanus cajan (Acc. No: XP020231823.1), Vigna angularis (Acc. No: NP001316768.1) and Vigna mungo (Acc. No: P17859.1), in group A cluster, while Hordeum vulgare (Acc. No: Q40015) and Oryza sativa (PDB ID: 3WN6) were in cluster B. The molecular dynamics simulations were performed to understand the molecular basis and mode of action of Trigonella foenum-graecum α-amylase. Additionally, a geometry-based molecular docking technique was used to evaluate potential binding interactions between the modeled structure of α-amylase and maltose. The results show that Trp²²⁸, Glu²²⁶, Arg¹⁹⁹, His³⁰⁸, Tyr¹⁶⁵, Asp³⁰⁹, Phe²⁰² and Asp²⁰¹ from Trigonella foenum-graecum α-amylase enzyme is involved in the binding to the substrate maltose. Our study provides a 3D model of Trigonella foenum-graecum α-amylase and aids in understanding the atomic level molecular underpinnings of the mechanism of α-amylase interaction with substrate maltose. Ca²⁺ are essential for the stability of domain B since they are connected to it. Ca²⁺ site ligands are Asp¹³⁹, Glu¹³⁰, Thr¹³³, Asp¹³⁵ and Gly¹³¹ residues. Communicated by Ramaswamy H. Sarma